Today, we’re checking out another great device for running our assistant with excellent performance, and learning how to activate Assist using the M5Stack CoreS3SE.

Index

• M5Stack CoreS3SE
• M5Stack CoreS3SE vs ESP32-S3-BOX-3
• Prerequisites
• Configuring the M5Stack CoreS3SE
• Custom support

M5Stack CoreS3SE

Well, let's start with the basics. M5Stack is the brand behind well-known devices like the Atom Echo. As I mentioned before, this was the first external device used to interact with Home Assistant. I’m convinced that if you're getting into the world of local assistants, you’re already familiar with it.

But Atom Echo isn’t the only option. M5Stack also makes a variety of ESP-based devices that are easy to integrate with Home Assistant. Think of them like custom ESPHome builds, but without the hassle of soldering, wiring, or configuring components from scratch.

Now that the introduction is done, today I want to introduce you to the M5Stack CoreS3SE, a device that’ll definitely remind you of the ESP32-S3-BOX-3 we looked at recently, as we can also activate Assist with the M5Stack CoreS3SE.

M5Stack CoreS3SE vs ESP32-S3-BOX-3

Since the goal of this guide is to activate Assist using the M5Stack CoreS3SE, I’ll go over the differences and similarities I’ve found between the two devices.

• Both run on the ESP32-S3 chip and are fully compatible with ESPHome.
• Both come with two microphones for better voice recognition.
• Both have a built-in speaker and a touchscreen display.
• The setup process is nearly identical for both.
• The CoreS3SE is about €10 cheaper than the BOX-3B.
• The CoreS3SE has a black frame, while the BOX-3B comes in white.
• The CoreS3SE is a bit smaller and more square in shape compared to the BOX-3B.
• The M5Stack CoreS3SE doesn’t come with a stand or USB-C cable by default, whereas the ESP32-S3-BOX-3B does (which we’ll actually turn to our advantage, as you’ll see at the end of this article).

Prerequisites

To activate Assist on the M5Stack CoreS3SE, you’ll need:

• You have set up Assist in Home Assistant.
• A M5Stack CoreS3SE device.
• A USB-C data cable to power the DATA board (with a charging cable you will not be able to install the software) .
  

🥑 If you're setting up Assist, I highly recommend checking out the workshop from the academy to get the most out of it!

Configuring the M5Stack CoreS3SE

Follow these preparation steps to get your M5Stack CoreS3SE up and running:

1.  In Home Assistant, go to your ESPHome add-on, click on “New Device”, then “Continue”.

2.  Give your device a name (e.g., “Assist”) and click “Next”.

3.  For the device type, select “ESP32-S3”. You’ll see a new block for your device appear in the background.

4.  Click “Skip”, then click “Edit” on your device’s card. Copy the code that appears and keep it handy — you’ll need part of it later.

5.  Head over to the GitHub page linked in the guide, copy the provided code, and replace the original ESPHome code with it.

6.  Important: This new code doesn’t include your Wi-Fi or Home Assistant credentials, so you’ll need to manually add them. Specifically, look for the lines from the original code that you copied in step 4 and insert them into the new code.

# Enable Home Assistant API
api:
  encryption:
    key: "bg6hash6sjdjsdjk02hh0qnQeYVwm123vdfKE8BP5"

ota:
  - platform: esphome
    password: "asddasda27aab65a48484502b332f"

wifi:
  ssid: !secret wifi_ssid
  password: !secret wifi_password

  # Enable fallback hotspot (captive portal) in case wifi connection fails
  ap:
    ssid: "Assist Fallback Hotspot"
    password: "ZsasdasdHGP2234"

7.  What you need to do is find the corresponding lines in the code  (it's at the beginning)  and  add the corresponding information . This code snippet would look like this:

# Enable Home Assistant API
api:
  encryption:
    key: "1fPr5BBxCfGiLLPgu/OEILB1T4XUdXN4Sh2pic4mgQk="
  on_client_connected:
    - script.execute: draw_display
  on_client_disconnected:
    - script.execute: draw_display

ota:
  - platform: esphome
    password: "a048862eecd273b682fde5d1a93acc36"
wifi:
  ssid: !secret wifi_ssid
  password: !secret wifi_password
  # Enable fallback hotspot (captive portal) in case wifi connection fails
  ap:
    ssid: "M5Stack-Cores3Se"
    password: "uCh6BjJ34Tnl"
  on_connect:
    - script.execute: draw_display
    - delay: 5s # Gives time for improv results to be transmitted 
  on_disconnect:
    - script.execute: draw_display

8.  Now click “Save” and then “Install.” Select “Manual download” and wait for the code to compile. It might take a while, so feel free to do something else in the meantime.

9.  Once it’s finished, choose the “Modern format” option to download the corresponding .bin file.

10.  Connect the M5Stack CoreS3SE to your computer using a USB-C data cable, plugging it into the port on the left side of the device.

11.  Go to the ESPHome page and click “Connect.” In the pop-up window, select your device and click “Connect” again.

12.  Click “Install” and select the .bin file you downloaded in step 9. Then click “Install” again to upload it to the device.

13.  You may see a message saying “HA not found.” Don’t worry — this is normal. In Home Assistant, go to Settings > Devices & Services, where the device should appear as discovered. Click “Configure” and then “Submit.”

14. That’s it! You can now activate Assist with the M5Stack CoreS3SE. By default, just say “Ok, Nabu,” and it’ll respond using your preferred assistant settings.

Personalized support

As I mentioned in the comparison, the M5Stack CoreS3SE doesn't come with a standard stand, which gives us the opportunity to create one to our liking. For example, this time I wanted to create a simple and elegant stand, taking advantage of the black frame.

⭐ If you have a 3D printer, you can download this stand I designed for FREE from our Patreon page. 

If you've ever needed to update firmware on an STM32-based device, you know the struggle—setting up an debugger, dealing with drivers, and ensuring proper connections. What if you could do it all without a dedicated programmer, using just your M5Stack Core2 or CoreS3? Enter M5 DAPLink, a powerful solution that transforms your M5 device into a standalone offline programmer.

Why Use M5 DAPLink?

Imagine being able to flash firmware anywhere, anytime—without needing a PC connection or extra hardware. Whether you're in the field, a classroom, or a factory line, M5 DAPLink makes firmware updates seamless. Just load your firmware onto a MicroSD card (for Core2) or a virtual USB drive (for CoreS3), and you're ready to go!

1. Preparations

Required hardware:
• Core2 / CoreS3
• Module Bus
• MicroSD card
• Card reader
• Male-to-female Dupont wires
• Female-to-female Dupont wires

2. Flashing the DAPLink Firmware

M5Burner
Download the M5Burner firmware flashing tool for your operating system from the links below. Extract and launch the application.

Open the burner tool, select the corresponding device type from the left menu, and download the matching firmware for your device.

CoreS3 DAPLink

Download the firmware for CoreS3: CoreS3 → CoreS3 DAPLink. Refer to the CoreS3 documentation to learn how to enter download mode. Once the device is detected by your computer, proceed with flashing.

CoreS2 DAPLink

Download the firmware for Core2: Core2 → Core2 DAPLink. Refer to the Core2 documentation to install the required USB driver. Once the device is detected, proceed with flashing.

3. Importing Flashing Algorithms and Firmware

Download the algorithm package below. This package, along with the firmware, is imported into the host device and used to match different chip models during flashing. Some algorithms are preloaded in the firmware, while manual import allows for additional algorithm support. Import methods vary by device—refer to the details below.

• algorithm

• Virtual USB Drive Import
This method is currently only supported for CoreS3.
Extract the algorithm package and copy it to the CoreS3 virtual USB drive. Create a program folder in the root directory to store the firmware files (hex/bin) for flashing.

• MicroSD Import
This method is currently only supported for Core2.
Extract the algorithm package and copy it to the MicroSD card. Create a program folder in the root directory to store the firmware files (hex/bin). The directory structure is the same as the CoreS3 virtual USB method.

• Web Import
This method works for both Core2 and CoreS3. Imported data is automatically saved to the device's flash storage partition. (Note: For Core2 with an SD card, files are stored on the SD card. For CoreS3, safely eject the virtual USB drive before importing via the web.)
Power on the device to enable its AP hotspot. Connect your computer to the hotspot and visit 192.168.4.1 in a browser. Click Program to navigate to the file upload page, then upload the algorithm and firmware files.

4. Device Connection

The DAPLink pin mappings for the firmware are as follows:

For example, to update the firmware of a Unit EXT.IO2, locate the programming pads after opening the device casing and connect them according to the pin mapping above. If contact is unstable, tilt the Dupont wire pins to ensure proper connection.

5. Starting the Flashing Process

After importing the algorithms and firmware, the device will display available options upon startup. Select the algorithm and firmware matching your target device. Click Idle, then Busy to begin flashing. (Note: Some chips, like STM32F0xx series, may require pressing Busy twice.)

6. Using with Module Bus

For daily DAPLink debugging, the Module Bus is highly recommended for easier wiring. It extends the MBus interface to the board's edge and includes two sets of 2.54-15P 90° headers for seamless Dupont wire connections.

Why M5 DAPLink is a Game-Changer

• No extra hardware needed – Your M5 device becomes a portable STM32 programmer.
• Works offline – No need for a PC once set up.
• Flexible import methods – USB, SD card, or web upload.
• Perfect for fieldwork and education – Quick firmware updates anywhere.

With M5 DAPLink, you turn ideas into reality faster—no hassle, no complicated setups. Ready to give it a try? Download the firmware today and start flashing like a pro!

In this article, we will integrate the M5Stack Air Quality Kit with Home Assistant to monitor air quality.

Index

• Air Quality Sensor
• M5Stack Air Quality Kit
  
• Prerequisites
• Configuration in ESPHome
• Device Information

Air Quality Sensor

While air quality may not be a concern for everyone, those of us living in large cities or near industrial areas are increasingly worried about the air we breathe at home. This concern is not unfounded—numerous studies have shown that long-term exposure to pollutants can lead to respiratory diseases such as asthma and bronchitis. Over time, it can also shorten lifespan and increase the risk of chronic illnesses like lung cancer.

From this perspective, home automation can help mitigate these effects by monitoring air quality, sending alerts when pollution levels rise, or even activating ventilation or air purification systems. If you're concerned about overall environmental pollution, you can refer to indexes like the World Air Quality Index.

However, whether you distrust external data (for instance, if monitoring stations are conveniently placed in green zones) or simply want to measure the specific data in your own home, an air quality sensor is essential. When it comes to finding a sensor that is comprehensive, integrable, and reasonably priced, debates always arise.

M5Stack Air Quality Kit

M5Stack is a well-known brand that offers devices like the M5Stack CoreS3SE and the historically significant Atom Echo. In this case, we’ll integrate the M5Stack Air Quality Kit with Home Assistant. This device is based on the ESP32S3FN8 chip and can measure CO2, VOCs, PM1.0, PM2.5, PM4, and PM10 particles, along with temperature and humidity (though some reviews suggest the accuracy of the latter two may be questionable). It also features an e-ink display and a built-in battery.

By the way, while this article focuses on integrating the M5Stack  Air Quality Kit with Home Assistant, you can also use it directly with your mobile device to monitor its readings. The video below explains the setup process.

Prerequisites

To integrate the M5Stack Air Quality Kit into Home Assistant, you will need:

• M5Stack Air Quality Kit 
• ESPHome installed in Home Assistant.
• A USB-C cable to power the DATA board (a charging-only cable will not allow software installation).

🥑 If you’re new to ESPHome, I recommend checking out the Academy workshop to get the most of it!

Configuration in ESPHome

Follow these steps to integrate the M5Stack Air Quality Kit into Home Assistant:

1. In Home Assistant, go to your ESPHome plugin, click “New Device,” and then click “Continue.”

2. Name your device (e.g., “ Air Quality Kit”) and click “Next.”

3. Select “ESP32-S3” as the device type. You'll notice that a new block has been created for your device in the background.

4. Click “Skip” and click “Edit” on the device block above. Copy the code that appears and save it, as you will need some parts of it later.

5. Copy the following code (which I found on reddit and edited slightly) and replace the above code in ESPHome.

substitutions:
  devicename: lounge-airq
  friendlyname: Lounge AirQ
  location: Lounge
  sensor_interval: 10s

esphome:
  name: ${devicename}
  friendly_name: ${friendlyname}
  area: ${location}
  platformio_options:
    board_build.mcu: esp32s3
    board_build.name: "M5Stack StampS3"
    board_build.upload.flash_size: 8MB
    board_build.upload.maximum_size: 8388608
    board_build.vendor: M5Stack
  on_boot:
  - priority: 800
    then:
      - output.turn_on: enable
  - priority: 800
    then:
      - pcf8563.read_time

esp32:
  board: esp32-s3-devkitc-1 #m5stack-stamps3
  variant: esp32s3
  framework:
    type: arduino

# Enable logging
logger:

# Enable Home Assistant API
api:
  encryption:
    key: REDACTED

ota:
  - platform: esphome
    password: REDACTED

wifi:
  ssid: !secret wifi_ssid
  password: !secret wifi_password

  # Enable fallback hotspot (captive portal) in case wifi connection fails
  ap:
    ssid: "Lounge-Airq Fallback Hotspot"
    password: REDACTED

captive_portal:

output:
  - platform: gpio
    pin: GPIO10
    id: enable

web_server:
   port: 80
   include_internal: true

i2c:
  sda: GPIO11
  scl: GPIO12
  scan: true
  frequency: 100kHz
  id: bus_a

spi:
  clk_pin: GPIO05
  mosi_pin: GPIO06

time:
  - platform: pcf8563
    address: 0x51
    update_interval: 10min
  - platform: homeassistant
    id: esptime

light:
  - platform: esp32_rmt_led_strip
    rgb_order: GRB
    pin: GPIO21
    num_leds: 1
    rmt_channel: 0
    chipset: SK6812
    name: "LED"
    restore_mode: ALWAYS_OFF
    id: id_led

text_sensor:
  - platform: wifi_info
    ip_address:
      name: IP
    ssid:
      name: SSID
    bssid:
      name: BSSID
    mac_address:
      name: MAC
    dns_address:
      name: DNS

  - platform: template
    name: "VOC IAQ Classification"
    id: iaq_voc
    icon: "mdi:checkbox-marked-circle-outline"
    lambda: |-
      if (int(id(voc).state) < 100.0) {
        return {"Great"};
      }
      else if (int(id(voc).state) <= 200.0) {
        return {"Good"};
      }
      else if (int(id(voc).state) <= 300.0) {
        return {"Light"};
      }
      else if (int(id(voc).state) <= 400.0) {
        return {"Moderate"};
      }
      else if (int(id(voc).state) <= 500.0) {
        return {"Heavy"};
      }
      else {
        return {"unknown"};
      }

  - platform: template
    name: "NOX IAQ Classification"
    id: iaq_nox
    icon: "mdi:checkbox-marked-circle-outline"
    lambda: |-
      if (int(id(nox).state) < 100.0) {
        return {"Great"};
      }
      else if (int(id(nox).state) <= 200.0) {
        return {"Good"};
      }
      else if (int(id(nox).state) <= 300.0) {
        return {"Light"};
      }
      else if (int(id(nox).state) <= 400.0) {
        return {"Moderate"};
      }
      else if (int(id(nox).state) <= 500.0) {
        return {"Heavy"};
      }
      else {
        return {"unknown"};
      }

sensor:
  - platform: scd4x
    co2:
      name: CO2
      id: CO2
      filters:
        - lambda: |-
            float MIN_VALUE = 300.0;
            float MAX_VALUE = 2500.0;
            if (MIN_VALUE <= x && x <= MAX_VALUE) return x;
            else return {};         
    temperature:
      name: CO2 Temperature
      id: CO2_temperature
      filters:
        - lambda: |-
            float MIN_VALUE = -40.0;
            float MAX_VALUE = 100.0;
            if (MIN_VALUE <= x && x <= MAX_VALUE) return x;
            else return {};      
    humidity:
      name: CO2 Humidity
      id: CO2_humidity
      filters:
        - lambda: |-
            float MIN_VALUE = 0.0;
            float MAX_VALUE = 100.0;
            if (MIN_VALUE <= x && x <= MAX_VALUE) return x;
            else return {};      
    altitude_compensation: 0m
    address: 0x62
    update_interval: $sensor_interval

  - platform: wifi_signal # Reports the WiFi signal strength/RSSI in dB
    name: "Wifi Signal dB"
    id: wifi_signal_db
    update_interval: 60s
    entity_category: "diagnostic"

  - platform: sen5x
    id: sen55
    pm_1_0:
      name: "PM 1"
      id: PM1_0
      accuracy_decimals: 2
    pm_2_5:
      name: "PM 2.5"
      id: PM2_5
      accuracy_decimals: 2
    pm_4_0:
      name: "PM 4"
      id: PM4_0
      accuracy_decimals: 2
    pm_10_0:
      name: "PM 10"
      id: PM10_0
      accuracy_decimals: 2
    temperature:
      name: "SEN55 Temperature"
      id: sen55_temperature
      accuracy_decimals: 2
    humidity:
      name: "SEN55 Humidity"
      id: sen55_humidity
      accuracy_decimals: 2
    voc:
      name: VOC
      id: voc
      accuracy_decimals: 2
      algorithm_tuning:
        index_offset: 100
        learning_time_offset_hours: 12
        learning_time_gain_hours: 12
        gating_max_duration_minutes: 180
        std_initial: 50
        gain_factor: 230
    nox:
      name: NOX
      id: nox
      accuracy_decimals: 2      
      algorithm_tuning:
        index_offset: 100
        learning_time_offset_hours: 12
        learning_time_gain_hours: 12
        gating_max_duration_minutes: 180
        std_initial: 50
        gain_factor: 230
    temperature_compensation:
      offset: 0
      normalized_offset_slope: 0
      time_constant: 0
    acceleration_mode: low
    store_baseline: true
    address: 0x69
    update_interval: $sensor_interval

  - platform: template
    name: Temperature
    id: temperature
    lambda: |-
      return (( id(sen55_temperature).state + id(CO2_temperature).state ) / 2 ) - id(temperature_offset).state;
    unit_of_measurement: "°C"
    icon: "mdi:thermometer"
    device_class: "temperature"
    state_class: "measurement"
    update_interval: $sensor_interval
    accuracy_decimals: 2

  - platform: template
    name: Humidity
    id: humidity
    lambda: |-
      return (( id(sen55_humidity).state + id(CO2_humidity).state ) / 2) - id(humidity_offset).state;
    unit_of_measurement: "%"
    icon: "mdi:water-percent"
    device_class: "humidity"
    state_class: "measurement"    
    update_interval: $sensor_interval
    accuracy_decimals: 2

binary_sensor:
  - platform: gpio
    name: Button A
    pin:
      number: GPIO0
      ignore_strapping_warning: true
      mode:
        input: true
      inverted: true
    on_press:
      then:
        - component.update: disp
      
  - platform: gpio
    pin:
      number: GPIO08
      mode:
        input: true
        pullup: true
      inverted: true
    name: Button B
    
  - platform: gpio
    pin:
      number: GPIO46
      ignore_strapping_warning: true
    name: Button Hold

  - platform: gpio
    pin: 
      number: GPIO42
    name: Button Power

button:
  - platform: restart
    name: Restart
    
  - platform: template
    name: "CO2 Force Manual Calibration"
    entity_category: "config"
    on_press:
      then:
        - scd4x.perform_forced_calibration:
            value: !lambda 'return id(co2_cal).state;'

  - platform: template
    name: "SEN55 Force Manual Clean"
    entity_category: "config"
    on_press:
      then:
        - sen5x.start_fan_autoclean: sen55

number:
  - platform: template
    name: "CO2 Calibration Value"
    optimistic: true
    min_value: 400
    max_value: 1000
    step: 5
    id: co2_cal
    icon: "mdi:molecule-co2"
    entity_category: "config"

  - platform: template
    name: Humidity Offset
    id: humidity_offset
    restore_value: true
    initial_value: 0.0
    min_value: -70.0
    max_value: 70.0
    entity_category: "CONFIG"
    unit_of_measurement: "%"
    optimistic: true
    update_interval: never
    step: 0.1
    mode: box

  - platform: template
    name: Temperature Offset
    id: temperature_offset
    restore_value: true
    initial_value: 0.0
    min_value: -70.0
    max_value: 70.0
    entity_category: "CONFIG"
    unit_of_measurement: "°C"
    optimistic: true
    update_interval: never
    step: 0.1
    mode: box

display:
  - platform: waveshare_epaper
    model: 1.54inv2
    id: disp
    cs_pin: GPIO04
    dc_pin: GPIO03
    reset_pin: GPIO02
    busy_pin:
      number: GPIO01
      inverted: false
    full_update_every: 6
    reset_duration: 2ms
    update_interval: 10s
    lambda: |-
      auto now = id(esptime).now().strftime("%H:%M %d/%m/%y").c_str();
      it.printf(it.get_width()/2, 0, id(f12), TextAlign::TOP_CENTER, "${location} @ %s", now);

      it.print(0, 23, id(f24), TextAlign::TOP_LEFT, "PM 1: "); 
      it.print(0, 48, id(f24), TextAlign::TOP_LEFT, "PM 2.5: "); 
      it.print(0, 73, id(f24), TextAlign::TOP_LEFT, "PM 4: "); 
      it.print(0, 98, id(f24), TextAlign::TOP_LEFT, "PM 10: "); 
      it.print(0, 123, id(f24), TextAlign::TOP_LEFT, "CO2: "); 
      it.print(0, 148, id(f24), TextAlign::TOP_LEFT, "VOC: ");
      it.print(0, 173, id(f24), TextAlign::TOP_LEFT, "NOX: ");

      it.printf(it.get_width(), 23, id(f24), TextAlign::TOP_RIGHT, "%.0f", id(PM1_0).state);
      it.printf(it.get_width(), 48, id(f24), TextAlign::TOP_RIGHT, "%.0f", id(PM2_5).state);
      it.printf(it.get_width(), 73, id(f24), TextAlign::TOP_RIGHT, "%.0f", id(PM4_0).state); 
      it.printf(it.get_width(), 98, id(f24), TextAlign::TOP_RIGHT, "%.0f", id(PM10_0).state);
      it.printf(it.get_width(), 123, id(f24), TextAlign::TOP_RIGHT, "%.0fppm", id(CO2).state);
      it.printf(it.get_width(), 148, id(f24), TextAlign::TOP_RIGHT, "%.0f", id(voc).state);
      it.printf(it.get_width(), 173, id(f24), TextAlign::TOP_RIGHT, "%.0f", id(nox).state);

font:
  - file:
      type: gfonts
      family: Noto Sans Display
      weight: 500
    glyphs: ['&', '@', '!', ',', '.', '"', '%', '(', ')', '+', '-', '_', ':', '°', '0',
        '1', '2', '3', '4', '5', '6', '7', '8', '9', 'A', 'B', 'C', 'D', 'E',
        'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S',
        'T', 'U', 'V', 'W', 'X', 'Y', 'Z', ' ', 'a', 'b', 'c', 'd', 'e', 'f',
        'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't',
        'u', 'v', 'w', 'x', 'y', 'z','å', 'ä', 'ö', '/', 'µ', '³', '’']
    id: f16
    size: 16
  - file:
      type: gfonts
      family: Noto Sans Display
      weight: 500
    glyphs: ['&', '@', '!', ',', '.', '"', '%', '(', ')', '+', '-', '_', ':', '°', '0',
        '1', '2', '3', '4', '5', '6', '7', '8', '9', 'A', 'B', 'C', 'D', 'E',
        'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S',
        'T', 'U', 'V', 'W', 'X', 'Y', 'Z', ' ', 'a', 'b', 'c', 'd', 'e', 'f',
        'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't',
        'u', 'v', 'w', 'x', 'y', 'z','å', 'ä', 'ö', '/', 'µ', '³', '’']
    id: f18
    size: 18
  - file:
      type: gfonts
      family: Noto Sans Display
      weight: 500
    id: f12
    size: 12
    glyphs: ['&', '@', '!', ',', '.', '"', '%', '(', ')', '+', '-', '_', ':', '°', '0',
        '1', '2', '3', '4', '5', '6', '7', '8', '9', 'A', 'B', 'C', 'D', 'E',
        'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S',
        'T', 'U', 'V', 'W', 'X', 'Y', 'Z', ' ', 'a', 'b', 'c', 'd', 'e', 'f',
        'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't',
        'u', 'v', 'w', 'x', 'y', 'z','å', 'ä', 'ö', '/', 'µ', '³', '’']
  - file:
      type: gfonts
      family: Noto Sans Display
      weight: 500
    id: f24
    size: 24
    glyphs: ['&', '@', '!', ',', '.', '"', '%', '(', ')', '+', '-', '_', ':', '°', '0',
        '1', '2', '3', '4', '5', '6', '7', '8', '9', 'A', 'B', 'C', 'D', 'E',
        'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S',
        'T', 'U', 'V', 'W', 'X', 'Y', 'Z', ' ', 'a', 'b', 'c', 'd', 'e', 'f',
        'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't',
        'u', 'v', 'w', 'x', 'y', 'z','å', 'ä', 'ö', '/', 'µ', '³', '’']
  - file:
      type: gfonts
      family: Noto Sans Display
      weight: 500
    id: f36
    size: 36
    glyphs: ['&', '@', '!', ',', '.', '"', '%', '(', ')', '+', '-', '_', ':', '°', '0',
        '1', '2', '3', '4', '5', '6', '7', '8', '9', 'A', 'B', 'C', 'D', 'E',
        'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S',
        'T', 'U', 'V', 'W', 'X', 'Y', 'Z', ' ', 'a', 'b', 'c', 'd', 'e', 'f',
        'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't',
        'u', 'v', 'w', 'x', 'y', 'z','å', 'ä', 'ö', '/', 'µ', '³', '’']
  - file:
      type: gfonts
      family: Noto Sans Display
      weight: 500
    id: f48
    size: 48
    glyphs: ['&', '@', '!', ',', '.', '"', '%', '(', ')', '+', '-', '_', ':', '°', '0',
        '1', '2', '3', '4', '5', '6', '7', '8', '9', 'A', 'B', 'C', 'D', 'E',
        'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S',
        'T', 'U', 'V', 'W', 'X', 'Y', 'Z', ' ', 'a', 'b', 'c', 'd', 'e', 'f',
        'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't',
        'u', 'v', 'w', 'x', 'y', 'z','å', 'ä', 'ö', '/', 'µ', '³', '’']
  - file:
      type: gfonts
      family: Noto Sans Display
      weight: 500
    id: f32
    size: 32
    glyphs: ['&', '@', '!', ',', '.', '"', '%', '(', ')', '+', '-', '_', ':', '°', '0',
        '1', '2', '3', '4', '5', '6', '7', '8', '9', 'A', 'B', 'C', 'D', 'E',
        'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S',
        'T', 'U', 'V', 'W', 'X', 'Y', 'Z', ' ', 'a', 'b', 'c', 'd', 'e', 'f',
        'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't',
        'u', 'v', 'w', 'x', 'y', 'z','å', 'ä', 'ö', '/', 'µ', '³', '’']

  - file:
      type: gfonts
      family: Noto Sans Display
      weight: 500
    id: f64
    size: 64
    glyphs: ['&', '@', '!', ',', '.', '"', '%', '(', ')', '+', '-', '_', ':', '°', '0',
        '1', '2', '3', '4', '5', '6', '7', '8', '9', 'A', 'B', 'C', 'D', 'E',
        'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S',
        'T', 'U', 'V', 'W', 'X', 'Y', 'Z', ' ', 'a', 'b', 'c', 'd', 'e', 'f',
        'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't',
        'u', 'v', 'w', 'x', 'y', 'z','å', 'ä', 'ö', '/', 'µ', '³', '’']

  - file:
      type: gfonts
      family: Noto Sans Display
      weight: 800
    id: f64b
    size: 64
    glyphs: ['&', '@', '!', ',', '.', '"', '%', '(', ')', '+', '-', '_', ':', '°', '0',
        '1', '2', '3', '4', '5', '6', '7', '8', '9', 'A', 'B', 'C', 'D', 'E',
        'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S',
        'T', 'U', 'V', 'W', 'X', 'Y', 'Z', ' ', 'a', 'b', 'c', 'd', 'e', 'f',
        'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't',
        'u', 'v', 'w', 'x', 'y', 'z','å', 'ä', 'ö', '/', 'µ', '³', '’']

  - file:
      type: gfonts
      family: Noto Sans Display
      weight: 800
    id: f55b
    size: 55
    glyphs: ['&', '@', '!', ',', '.', '"', '%', '(', ')', '+', '-', '_', ':', '°', '0',
        '1', '2', '3', '4', '5', '6', '7', '8', '9', 'A', 'B', 'C', 'D', 'E',
        'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S',
        'T', 'U', 'V', 'W', 'X', 'Y', 'Z', ' ', 'a', 'b', 'c', 'd', 'e', 'f',
        'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't',
        'u', 'v', 'w', 'x', 'y', 'z','å', 'ä', 'ö', '/', 'µ', '³', '’']

  - file: 
      type: gfonts
      family: Material Symbols Sharp
      weight: 400
    id: font_weather_icons_xsmall
    size: 20
    glyphs:
      - "\U0000F159" # clear-night
      - "\U0000F15B" # cloudy
      - "\U0000F172" # partlycloudy
      - "\U0000E818" # fog      
      - "\U0000F67F" # hail
      - "\U0000EBDB" # lightning, lightning-rainy
      - "\U0000F61F" # pouring
      - "\U0000F61E" # rainy
      - "\U0000F61C" # snowy
      - "\U0000F61D" # snowy-rainy
      - "\U0000E81A" # sunny
      - "\U0000EFD8" # windy, windy-variant
      - "\U0000F7F3" # exceptional
  - file: 
      type: gfonts
      family: Material Symbols Sharp
      weight: 400
    id: font_weather_icons_small
    size: 32
    glyphs:
      - "\U0000F159" # clear-night
      - "\U0000F15B" # cloudy
      - "\U0000F172" # partlycloudy
      - "\U0000E818" # fog      
      - "\U0000F67F" # hail
      - "\U0000EBDB" # lightning, lightning-rainy
      - "\U0000F61F" # pouring
      - "\U0000F61E" # rainy
      - "\U0000F61C" # snowy
      - "\U0000F61D" # snowy-rainy
      - "\U0000E81A" # sunny
      - "\U0000EFD8" # windy, windy-variant
      - "\U0000F7F3" # exceptional

  - file:
      type: gfonts
      family: Open Sans
      weight: 700    
    id: font_clock
    glyphs: "0123456789:"
    size: 70
  - file:
      type: gfonts
      family: Open Sans
      weight: 700    
    id: font_clock_big
    glyphs: "0123456789:"
    size: 100
  - file: "gfonts://Roboto"
    id: font_temp
    size: 28
  - file:
      type: gfonts
      family: Open Sans
      weight: 500    
    id: font_small
    size: 30
    glyphs: "!\"%()+=,-_.:°0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ abcdefghijklmnopqrstuvwxyz→»"
  - file:
      type: gfonts
      family: Open Sans
      weight: 500    
    id: font_medium
    size: 45
    glyphs: "!\"%()+=,-_.:°0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ abcdefghijklmnopqrstuvwxyz→»"
  - file:
      type: gfonts
      family: Open Sans
      weight: 300    
    id: font_xsmall
    size: 16  
    glyphs: "!\"%()+=,-_.:°0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ abcdefghijklmnopqrstuvwxyz→»"



    

6. Important: This code does not include the credentials for connecting the device to your Wi-Fi and Home Assistant instance, so you will need to enter them manually. Specifically, I am referring to the following lines of code that you copied in step 4.

# Enable Home Assistant API
api:
  encryption:
    key: "bg6hash6sjdjsdjk02hh0qnQeYVwm123vdfKE8BP5"

ota:
  - platform: esphome
    password: "asddasda27aab65a48484502b332f"

wifi:
  ssid: !secret wifi_ssid
  password: !secret wifi_password

  # Enable fallback hotspot (captive portal) in case wifi connection fails
  ap:
    ssid: "Assist Fallback Hotspot"
    password: "ZsasdasdHGP2234"



    

7. What you need to do is find the corresponding lines in the code (at the beginning) and add the necessary information.

8. Now, click “Save” and “Install.” Select “Manual download” and wait for the code to compile.

9. When finished, select the “Modern format” option to download the corresponding “.bin” file.

10. Connect the M5Stack Air Quality Kit to your computer using the USB-C data cable via the port on the bottom.

11. Now go to the ESPHome page   and click "Connect." In the pop-up window, select your board and click "Connect."

12. Now click on “Install” and select the '.bin' file obtained in step 9. Again, click on “Install”.

13. Go back to Home Assistant and navigate to Settings > Devices & Services. Your device should be discovered and appear at the top, ready for you to click the “Configure” button. If not, click the “Add Integration” button, search for "ESPHome," and enter your board’s IP address in the "Host" field.

Device information

If you navigate to Settings > Devices & Services > ESPHome and select the M5Stack Air Quality Kit, you'll find several entities providing information about air quality.

Additionally, the buttons on the device's top-left corner have also been exposed as entities. This means you can create an automation to trigger an action when you press them, such as activating your ventilation system.

To set this up, go to Settings > Automations and Scenes > Create Automation. In the "When" section, add a "State" trigger. In the entity field, select the one corresponding to your device (e.g., 'binary_sensor.airq_button_a'), and in the "To" field, choose "On." Then, simply add the desired actions.

Source: AguacaTEC
Author: TitoTB

On November 18, 2024, M5Stack opened its doors to individual visitors for the first time. More than 70 visitors from all around the world attended the event, with some showcasing their projects built with M5 products or sharing their stories with M5Stack.

The event began at 3:00 PM, with many visitors checking in and receiving their gifts—custom T-shirts featuring the M5Stack logo. After a group photo, the first agenda kicked off: The Factory and Office Tour.

M5Stack Factory and Office Tour

The visitors were divided into three groups, with introductions provided in Chinese, English, and Japanese. M5Stack operates an all-in-one facility where product design, production, packaging, quality control, marketing, and shipping are seamlessly managed under one place. Visitors could take a close look at the whole flow.

In the show board area, we display all the products we've created so far, including the classic 5x5 stack series—such as M5Basic Core, M5Core2, M5Core3, and Stick series—like the M5StickC, along with the Stamp Series (M5Cardputer, M5StampFly), and the Atom series (M5Atom Echo), among others. M5Stack’s CEO, Jimmy Lai, also explains "What is M5Stack?"

M5Stack is an open-source hardware IoT solution provider, primarily focused on products built around the ESP32. We also offer a range of accessories and our own visual programming platform, UIFlow. The "M" in M5Stack stands for Module, "5" represents the 5x5 cm size, and "Stack" refers to their stackable design. 

M5Stack is committed to delivering convenient, stackable and easy-to-use development components and tools, with at least one new product every Friday, we launch over 50 new products every year. We provide not only standard products, also customized products. Our partner includes Amazon, Microsoft, Arduino, SONY, etc.

Time flies, and 2023 has come to an end. M5Stack's products and services have accompanied users worldwide throughout the year. 2023 was a year of continuous innovation for M5Stack, with 76 new products released at a rate of one per week. As we set sail for 2024, let's look back at the brilliance of the past year and unveil the top 10 best-selling products of 2023!

 1. ATOM LITE

Once again, Atom Lite tops this year's list of best-selling products, following on from last year's success. Launched in 2020, Atom Lite's outstanding features and enduring vitality have won over a wide range of users worldwide.

Atom Lite user case @Peter Neufeld

Atom Lite is a compact development board, measuring only 24 * 24mm, which provides more GPIO pins for users to customize freely. It is particularly suitable for embedded smart hardware development.

This development board uses the ESP32-PICO-D4 solution as the main controller, integrating Wi-Fi module and built-in 3D antenna. It has 4MB of SPI flash memory, as well as Infra-Red (IR) infrared, RGB LED, buttons, and GROVE/HY2.0 interfaces. Additionally, the onboard Type-C interface enables fast program uploading and downloading, and there is an M2 screw hole on the back for fixation.

2. ATOM ECHO

Also released in 2020, Atom Echo has undoubtedly become a dark horse product this year. In 2023, with the power of Home Assistant and ChatGPT, the Atom Echo has sold out again and again. The ability to connect to ChatGPT, act as a personal voice assistant with customisable wake words, and do it all for just $13 makes it a must-have smart home device.

Atom Echo voice assistant use case @Home Assistant

Atom Echo is a programmable smart speaker. Despite its small size of only 24 * 24 * 17mm, it boasts impressive functionality. With the built-in wireless capabilities of the ESP32, it can easily connect to devices such as smartphones and tablets for seamless music playback. It can also stream specified media music via Wi-Fi.

To facilitate voice functionality, Atom Echo integrates an STT (Speech-to-Text) service internally. Users only need to burn specified firmware to enable this feature and perform various operations through voice commands. Users can also write code to integrate Atom Echo with cloud platforms like AWS and Google, utilizing the built-in microphone and speaker for voice interaction, enabling certain AI capabilities, such as voice control, intelligent conversations, and IoT functionalities.

The speaker has a built-in RGB LED (SK6812) that visually displays the connection status. In addition to being used as a smart speaker, it still retains the control capabilities of the ATOM series and can be connected to external devices via the GROVE interface. The M2 screw hole on the back facilitates secure installation.

3. M5STICKC PLUS

M5StickC Plus is a powerful, portable and expandable development board. Since its release in 2020, it has consistently been at the top of various best-seller lists. At the end of 2022, we welcomed M5StickC Plus2 and officially said goodbye to M5StickC Plus.

M5StickC Plus is a powerful microcontroller module that is compact and easy to carry. Despite its small size, M5StickC Plus integrates rich hardware resources, including infrared, RTC, microphone, LED, IMU, buttons, buzzers, and PMU.

M5StickC Plus is equipped with the ESP32-PICO-D4 processor, providing powerful computing and communication capabilities. It features a 1.14-inch color TFT display that can show images, text, and user interfaces, offering a good interactive experience. Additionally, M5StickC Plus has a built-in battery for standalone use, eliminating the need for an external power source.

The module is equipped with various sensors, including an accelerometer, gyroscope, and magnetometer, enabling it to sense and measure object motion and environmental conditions. It also has Wi-Fi and Bluetooth connectivity, allowing data transmission and remote control with other devices. The interface supports HAT and Unit series products. This compact and exquisite development tool inspires endless creative possibilities.

4. M5CORE2

M5Core2 is the second-generation host of the M5Stack Core series, featuring an ESP32 chip and a touchscreen. It is known for its easy stacking, expandability, and rapid development capabilities. Since its release in 2020, Core2 has consistently been a hot seller in both domestic and international markets, loved by a large number of users. Amazon Web Services (AWS) and M5Stack have collaborated to launch Core2 for AWS. Now, we have the Core2 V1.1 version.

気分転換と運動を兼ねて、1ヶ月前に自転車を買って夕方に走っているのですが、今日は超音波風速計を載せてみました。

向かい風や追い風や横風で思っていたよりスピードに影響が出ます。
色々センシングすれば漕ぐパワーとかも測れますかね？🚴‍♂️ pic.twitter.com/WolbxzlhYh

— STRATOVISION🎈気球の開発 (@strvsn) August 12, 2023

M5Core2 is a versatile development kit with a 2-inch IPS touchscreen display. It is built around the ESP32 microcontroller, which provides Wi-Fi and Bluetooth connectivity. The Core2 module offers a variety of built-in features, including an accelerometer, gyroscope, magnetometer, speaker, microphone, and more.

The development kit supports UIFlow, a graphical programming interface, as well as Arduino and MicroPython. This allows users to choose their preferred programming language and easily develop applications. The modular design of M5Core2 enables stacking of additional modules, called Units, on top of the base module, expanding its capabilities and creating custom projects.

M5Core2 also includes a built-in 390mAh battery, enabling portable and standalone use. It has a USB Type-C interface for charging and programming, as well as an SD card slot for extended storage.

5. ULTRASONIC I2C Unit

Ultrasonic I2C Unit is an ultrasonic ranging sensor with an I2C communication interface. The hardware features the RCWL-9620 ultrasonic ranging chip paired with a 16mm probe, enabling precise ranging within a range of 2cm to 450cm (with an accuracy of ±2%). As an I2C slave device, the sensor can share the bus resources with other I2C devices, allowing for efficient use of IO pins. It is ideal for applications such as obstacle avoidance in robots and liquid-level detection.

#M5Stack 距離を測るUnitを Arduinoで比較してみる。

ULTRASONIC I2C pic.twitter.com/6iYs7nWo7H

— タカオ(Takao) (@mongonta555) July 28, 2022

6. ENVIII Unit

ENV III is an environmental sensor that integrates the SHT30 and QMP6988 sensors, used for detecting temperature, humidity, and atmospheric pressure data. The SHT30 is a high-precision, low-power digital temperature and humidity sensor that supports the I2C interface (SHT30: 0x44, QMP6988: 0x70). The QMP6988 is an absolute pressure sensor designed for mobile applications, known for its high accuracy and stability, making it suitable for environmental data collection and monitoring projects.

富士山でM5stickCとEnvIII Unitで気圧を測定中。現在9合目659hPa #富士山 #M5Stack pic.twitter.com/4Y0W45PkT0

— みきひろし (@miki_hiroshi_77) July 23, 2022

7. AtomS3

AtomS3 is a highly integrated programmable controller based on the ESP32-S3 main controller. It features an ESP32-S3 main controller with built-in Wi-Fi capability and an 8M onboard flash memory. The controller also includes a 0.85-inch IPS screen with programmable buttons below it. Additionally, it is equipped with a 5V to 3.3V circuit, a 6-axis gyroscope sensor (MPU6886), an onboard Type-C interface (for power and firmware download), an HY2.0-4P expansion port, and six GPIO pins and power pins reserved at the bottom for easy expansion of various applications.

With a product size of only 24x24x13mm, the AtomS3 is perfect for various embedded smart device applications. It provides powerful functionality and flexible expandability, making it suitable for developing a wide range of embedded systems and smart devices.

#M5Stack #ATOMS3
「ｴｱﾘｱﾙ･ｽﾀｯｸﾁｬﾝ」or「ｴｰﾙｽﾀｯｸﾁｬﾝ」。

見た目から期待した通りATOM Matrixと同じ形状なのでそのまま載せられました。
但し、6軸慣性センサー(MPU6886)を高速で読み出したり測定域を変えたりするために、ATOM_S3ライブラリに若干の修正が必要でした。 pic.twitter.com/cxEPzmVa6b

— 山口辰久 (@qzy13700) May 7, 2023

8. PIR Motion Unit

PIR Motion Unit is a human infrared sensor unit. It belongs to the "passive infrared detector" category and works by detecting the infrared radiation emitted or reflected by humans or objects. When infrared radiation is detected, it outputs a high-level signal and maintains a delay for a certain period (keeping the signal high and allowing for repeated triggering) until the trigger signal disappears (returns to a low level). The PIR Motion Unit is suitable for various applications that require detecting human activity and motion, including security, automation, energy management, and people counting.

ATOMS3 Man
PIR検出してない時 たまにウィンク
ATOM EchoとBusCに検出通知
🔊 ATOM Echo + 4Ω3W AquesTalk#M5Stack #ATOMS3 #PIR #レゴ pic.twitter.com/PkY3jchSHH

— 老電 (@elec_leak) March 31, 2023

9. BASIC V2.7

Basic is the first-generation host of M5Stack, offering high cost-effectiveness and a rich collection of case resources. Through continuous optimization and development, it has now iterated to the V2.7 version.

Basic V2.7 features a 2.0-inch color TFT LCD screen with a resolution of 320x240, which can display graphical interfaces and text information. It is also equipped with three programmable buttons, a programmable touchscreen, a speaker, and a set of expansion pins to support the connection and expansion of various peripheral devices.

This development board uses the ESP32 Internet of Things chip, integrates Wi-Fi capability, and has 16MB of SPI flash memory. As a low-power dual-core processor, it performs exceptionally well in various application scenarios.

ハンド追跡アプリで、8種類のジェスチャー検出を試してみる。
ジェスチャー名を M5Stack Basic に表示する処理を追加。35FPSくらい出るのでレスポンスも良い感じ。#akarirobot #OAKD #M5Stack #HandTracking pic.twitter.com/sTTKsL6GLJ

— mktechlab_net (@mktechlab_net) May 7, 2023

10. ATOM U

ATOM U is a compact and flexible Internet of Things voice recognition development board. It uses the Espressif ESP32 main control chip with two low-power Xtensa® 32-bit LX6 microprocessors, operating at a high frequency of up to 240MHz. ATOM U integrates USB-A interface, IR emitter, and programmable LED lights, allowing for plug-and-play convenience for program uploading, downloading, and debugging. It also includes a Wi-Fi module and a built-in digital microphone (SPM1423 PDM) for clear audio recording, making it suitable for various IoT human-machine interaction and speech-to-text (STT) input recognition scenarios.

ATOM U supports low-code development and provides features such as UIFlow graphical programming platform, script programming, no-compilation execution, and cloud pushing. It is fully compatible with mainstream development platforms such as Arduino and ESP32-IDF.

ATOM U has a high level of integration, including USB-A programming/power interface, IR emitter, programmable RGB light, and buttons. The professionally tuned RF circuit ensures stable and reliable wireless communication quality.

M5Stack社の新商品Atom Uが届いたので早速システムに組み込んだ。
外部入出力がGrove+シリアル通信くらいでいいからUSB給電でWifiで通信させて動かしたいときにコンパクトに作れていいね。https://t.co/s1WfhV1p72 pic.twitter.com/X1G7tQVd2K

— 五味 (@GomiHgy) January 8, 2022

M5Stack's success is inextricably linked to our community's support, and we thank you for it. We wish you a Happy New Year! We will continue to provide more and better services to meet your needs in the coming year.

 The Build2gether Inclusive Innovation Challenge, hosted by Europe's top university ETH Zurich and organised by the world-renowned hardware community Hackster.io, recently concluded. The competition, in collaboration with partners M5Stack, Google, Blues, PCBWay and Useful Sensors, offered a total prize pool of $40,000.

This global competition aimed to encourage people to use innovative technology to help individuals with physical disabilities overcome challenges in their daily lives and build a more inclusive and equitable future. The competition received a total of 194 submissions, with many participants choosing M5Stack products. In this blog post, we have selected some of the award-winning projects to explore the development stories behind them!

 1.Haptic Vision Assist

This project uses M5Stack's controllers and sensors to provide simple, cost-effective and efficient obstacle warnings using infrared laser and haptic technology to visually impaired users to aid their mobility.

The author, Colonel Panic, witnessed the daily challenges faced by visually impaired people while living with his fiancée and her son, both of whom have inherited Retinitis Pigmentosa, a genetic eye disease. Motivated to help improve the lives of visually impaired people, Colonel Panic learned to use M5Stack products and UIFlow within a year. To quickly become proficient in the use of M5Stack, he challenged himself to create a prototype for a new idea every day.

Project link: https://www.hackster.io/colonelpanic/haptic-vision-assist-ac670f

2. Wall Early Warning System for Swimming Laps

This project uses Bluetooth beacon technology to warn visually impaired users when approaching the pool wall, preventing accidental collisions due to poor visibility while swimming.

Have you ever hit a wall while swimming? What about doing the backstroke? Ouch! Now imagine having poor eyesight; everything becomes even more challenging! Inspired by personal experience and discussions with disabled mentors after joining a competitive group, author David Barrett came up with the idea for this project.

Project link: https://www.hackster.io/3DPrinterDoctor/wall-early-warning-system-for-swimming-laps-4ba356

 3.Intercom and Smart Controller Mounted on Wheelchair and Roll

This project allows people who use wheelchairs or walkers to receive real-time doorbell notifications via Telegram, see who is at the door, and remotely control door access.

Imagine hearing the doorbell ring and feeling nervous. You might even rush to open the door. These actions may seem simple for able-bodied people, but they are inconvenient for people who use wheelchairs. This project effectively addresses this pain point.

Project link:

https://www.hackster.io/ecasti/intercom-and-smart-controller-mounted-on-wheelchair-and-roll-9a4691

 4. Motion Controller for People with Limited Arm Function

This project focuses on developing a motion controller for gaming purposes specifically designed for individuals with limited arm function due to conditions such as muscular dystrophy. For PC gamers, the mouse is a crucial peripheral device. However, mice require a flat surface to function properly and demand users to sit in front of a desk, constantly extending their arms, which can be challenging for some individuals with disabilities.

Therefore, Yahya Khalid created a simple controller using the compact AtomS3, which can effectively replace a mouse. With this device, users can adjust sensitivity to meet their specific needs, and hand position or orientation is not limited, accommodating individuals with restricted hand movements.

Project link: https://www.hackster.io/yahya-khalid/motion-controller-for-people-with-limited-arm-function-4e15d3

 5. Cracked road detection for better travel

This project can help people who use wheelchairs to be aware of road potholes in advance to avoid accidental falls while travelling.

One of the challenges faced by wheelchair users is encountering cracked roads, where if the user is not concentrating, they could fall into a pothole and potentially injure themselves. Hendra Kusumah aims to create a solution that is easy to build and program, requires no soldering, and costs less than $50.

Project link:

https://www.hackster.io/hendra/cracked-road-detection-for-better-travel-e00340

6. Cheza Pona

This project is an innovative gaming platform that redefines inclusive skill development, specifically designed for people with disabilities such as cerebral palsy and muscular dystrophy. Cheza Pona provides dynamic and adaptive gaming experiences.

According to a 2017 study by the World Health Organization, only 1 in 10 people with disabilities in low-income countries have access to the assistive technology they need. In response to this challenge, Ryan Kiprotich and Mergery Wanjiru proposed a solution called Cheza Pona, which means "play better" in Swahili. They transformed the typically monotonous physical therapy into an enjoyable gaming experience. Using the low-cost M5StickC, they created a game where players can use the built-in inertial measurement unit sensor to move sideways and avoid blocks in the game to score points.

Project link: https://www.hackster.io/512307/cheza-pona-2d0c47

7. Move-It!

This project turns M5StickC int to an IMU-based gaming device - a small wearable device whose movement can provide input to games.

The project was mainly aimed at developing something small which can help people with Muscular Dystrophy play games without over-exerting and tiring out faster. I won the M5Stack Gift card and ordered the M5StickC and a mini dual button unit. The idea was to use IMU input from the M5StickC as serial data and process it as keyboard input.

Project link: https://www.hackster.io/nvraghavendra2000/move-it-2371ed

Modular IoT system construction offers high flexibility and scalability as the developers can quickly build prototype systems using existing modules to save time in design and development. It assists developers in swiftly developing and validating their concepts and works directly from idea to product, allowing developers to create various types of devices and solutions more quickly and economically.

M5Stack’s products have a stackable design, providing standardized interfaces for easy construction of the system, when combined with the intuitive visual programming interface of UIFlow, it significantly reduces the technical barriers of system design and development. Even developers with limited hardware and software knowledge can quickly build powerful IoT devices.

Setting up the UIFlow Environment

Taking the MStack Basic as an example, the first step is to refer to the UIFlow firmware burning tutorial and download M5Burner to burn the UIFlow firmware to the controller.

Building an IoT System

If we need to detect air quality. We can stack the PM2.5 Air Quality Module  to the MStack Basic.

Then, in UIFlow, click on "PM2.5" and select "Load Examples" to open the sample code.

Click "Run," and we will see the air quality displayed on the screen.

When we want to drive a stepper motor to actuate certain mechanisms when the PM2.5 concentration is high. We can stack the GRBL  Module.

Next, find the code blocks corresponding to the GRBL module in UIFlow.

Set the motor drive mode at the beginning of the code, here we set it to distance mode.

In the main loop of the program, add a condition based on the PM2.5 concentration, using the value stored in SP for simplicity. When the concentration exceeds 55 (μg/m³), the stepper motor starts rotating. When it falls below 55, the stepper motor stops rotating.

Click "Run," and the system will operate as we set.

Conclusion

In summary, the stackable modular design provides a flexible, efficient, and scalable approach to IoT system development. When combined with the visual and user-friendly programming environment of UIFlow, it makes system construction easier, reduces development costs and risks, and facilitates rapid prototyping and feature expansion.

With the continuous development of the Internet of Things (IoT) technology, an increasing number of devices require remote monitoring and control. In this context, RS485 communication, as a reliable communication protocol, is widely used for data transmission and communication connectivity between IoT devices.

RS485 communication, as a serial communication protocol, offers several prominent advantages:

1. Long-distance transmission: RS485 communication supports transmission over a maximum distance of 1200 meters, suitable for communication needs among IoT devices distributed over larger areas.
2. Strong anti-interference capability: RS485 communication uses differential signal transmission, exhibiting excellent anti-interference capability, ensuring stable and reliable data transmission in industrial environments.
3. Multi-point communication: RS485 supports multi-point communication, enabling the connection of multiple devices to form a network, meeting the inter-device connectivity requirements in IoT.
4. High-speed transmission: RS485 supports data transmission speeds of up to 10Mbps, meeting the data transfer speed requirements of IoT devices.

Applications of RS485 in IoT:

1. Industrial Automation:

In the field of industrial automation, RS485 communication is widely used for data transmission and control connectivity among various devices such as sensors, actuators, and PLCs. Through RS485 communication, these devices can achieve remote monitoring and control, enhancing production efficiency and work safety.

2. Smart Buildings:

In smart building systems, RS485 communication is used to connect various smart devices, such as lighting control systems, HVAC systems, and security systems, enabling data exchange and centralized management among devices. The stability and reliability of RS485 communication enable smart building systems to achieve efficient energy management and intelligent control.

3. Agricultural IoT:

In agricultural IoT applications, RS485 communication can be used to connect soil moisture sensors, weather stations, irrigation systems, and other devices, enabling remote monitoring of farmland environments and precision irrigation to improve crop yield and quality.

Future development of RS485 communication:

In conclusion, RS485 communication, as an important communication means in IoT, provides a reliable solution for data transmission and communication connectivity between different devices through its features such as long-distance transmission, strong anti-interference capability, and multi-point communication. As IoT continues to evolve, we have reason to believe that RS485 communication will continue to play an important role, building a solid bridge for interconnection among IoT devices.

Next, we will use the M5Stack device as an example to demonstrate the application of RS485 communication in IoT. Here we use RS485 HAT, RS485 HAT consists of a 485 automatic transceiver circuit and a DC-DC buck circuit which can drop an input 12V to 5V.

Setting up the Arduino Environment

First, please refer to the Arduino IDE setup tutorial to complete the basic software installation. And then install the `M5Unified and FastLED libraries` in the library manager, or manually clone and install them from the following GitHub links into the C:\Users\PC\Documents\Arduino\libraries  directory:

*M5Unified: (https://github.com/m5stack/M5Unified)

*FastLED: (https://github.com/FastLED/FastLED)

Setting up the Hardware Environment

Devices needed:

1.  ATOM Matrix x1
2. M5StickC Plus x1
3. RS485 HAT x1
4. Tail485 x1
5.120 Ohm plug-in resistor x1
6. RS485 cable x1
7. 12V power supply x1

Operational steps:

1.Connect the RS485 HAT to the M5stickc Plus.

2. Connect the ATOM Matrix to the Tail485.

 3. Connect a 120-ohm matching resistor is needed at the AB end of RS485.

4. Use a 12V power supply.

5. Connect using the RS485 cable.

RS485 Transmitter

Using the following code, we will utilize the M5stickc Plus + RS485 HAT to create an RS485 transmitter. Pressing button A will send control commands via RS485 to control the color of the receiving end's RGB light.

#include "M5Unified.h"

String command[3] = {"RED\n", "GREEN\n", "BLUE\n"};

uint8_t command_index = 0;

void setup() {

  M5.begin();

  M5.Display.setEpdMode(epd_mode_t::epd_fastest);

  M5.Display.setFont(&fonts::Font4);

  M5.Display.setTextColor(WHITE);

  if (M5.Display.width() < M5.Display.height())

  { /// Landscape mode.

    M5.Display.setRotation(M5.Display.getRotation() ^ 1);

  }

  M5.Display.startWrite();

  M5.Display.setTextSize(1);

  M5.Display.drawCenterString("M5Stack RS485", M5.Display.width()/2, M5.Display.height()/8);

  M5.Display.drawCenterString("Demo", M5.Display.width()/2, M5.Display.height()/8+20);

  M5.Display.setTextSize(1);

  M5.Display.drawCenterString("btnA send command", M5.Display.width()/2, M5.Display.height()/8+60);

  M5.Display.endWrite();

  Serial2.begin(115200, SERIAL_8N1, 26, 0);

  while (1)

  {

    M5.update();

    M5.Display.startWrite();

    if (M5.BtnA.wasClicked()) {

      command_index++;

      if (command_index > 2)

        command_index = 0;

      Serial2.printf("%s", command[command_index].c_str());

      switch (command_index)

      {

      case 0:

        M5.Display.clear(RED);

        break;

      case 1:

        M5.Display.clear(GREEN);

        break;

      case 2:

        M5.Display.clear(BLUE);

        break;

      default:

        break;

      }

      M5.Display.setTextSize(1);

      M5.Display.drawCenterString("M5Stack RS485", M5.Display.width()/2, M5.Display.height()/8);

      M5.Display.drawCenterString("Demo", M5.Display.width()/2, M5.Display.height()/8+20);

      M5.Display.setTextSize(2);

      M5.Display.drawCenterString(command[command_index], M5.Display.width()/2, M5.Display.height()/8+60);

      M5.Display.endWrite();

      break;      

    }

  }

}

void loop() {

  M5.update();

  M5.Display.startWrite();

  if (M5.BtnA.wasClicked()) {

    command_index++;

    if (command_index > 2)

      command_index = 0;

    Serial2.printf("%s", command[command_index].c_str());

    switch (command_index)

    {

    case 0:

      M5.Display.clear(RED);

      break;

    case 1:

      M5.Display.clear(GREEN);

      break;

    case 2:

      M5.Display.clear(BLUE);

      break;

    default:

      break;

    }

  }

  M5.Display.setTextSize(1);

  M5.Display.drawCenterString("M5Stack RS485", M5.Display.width()/2, M5.Display.height()/8);

  M5.Display.drawCenterString("Demo", M5.Display.width()/2, M5.Display.height()/8+20);

  M5.Display.setTextSize(2);

  M5.Display.drawCenterString(command[command_index], M5.Display.width()/2, M5.Display.height()/8+60);

  M5.Display.endWrite();  

}

RS485 Receiver

With the code below, we utilize the ATOM Matrix+Tail485 to create an RS485 receiver. The receiver waits for commands sent by the transmitter and changes the color of the RGB LED.

#include "Arduino.h"

#include <FastLED.h>

#define NUM_LEDS 25

#define DATA_PIN 27

CRGB leds[NUM_LEDS];

char terminateChar =  '\n';      

const int bufferLength = 100;    

char serialBuffer[bufferLength];

String rx_str;  

void setup() {

    FastLED.addLeds<NEOPIXEL, DATA_PIN>(leds, NUM_LEDS);

    Serial2.begin(115200, SERIAL_8N1, 32, 26);

}

void loop() {

    if (Serial2.available()) {

        Serial2.readBytesUntil(terminateChar, serialBuffer, bufferLength);

        rx_str = serialBuffer;

        if (rx_str.indexOf("GREEN") != -1) {

            for (int i = 0; i < 25; i++)

                leds[i] = 0x001000;

            FastLED.show();

        }

        else if (rx_str.indexOf("RED") != -1) {

            for (int i = 0; i < 25; i++)

                leds[i] = 0x100000;

            FastLED.show();

        }

        else if (rx_str.indexOf("BLUE") != -1) {

            for (int i = 0; i < 25; i++)

                leds[i] = 0x000010;

            FastLED.show();

        }

    }

}

ESP32 CAM is an ESP32 development board with a built-in camera. It is powerful, compact, and suitable for Internet of Things (IoT) projects. It can meet the market's demands for device connectivity, data transmission, and security. The ESP32 CAM offers the following advantages:

Powerful processing capabilities and rich features: ESP32 CAM integrates a high-performance ESP32 chip, providing powerful processing capabilities and various functional modules such as Wi-Fi, Bluetooth, and a camera. This enables easy device connectivity and data processing, meeting the requirements of IoT projects.

Stable wireless connection: ESP32 CAM has a built-in robust Wi-Fi module, offering a stable and reliable wireless connection. This facilitates reliable communication between devices and supports remote monitoring and control functionality.

Flexible device integration: ESP32 CAM has ample GPIO pins and communication interfaces, allowing for flexible integration with other sensors, actuators, and external devices. This simplifies the expansion and customization process of IoT projects.

Security assurance: ESP32 CAM supports secure data transmission and communication protocols such as SSL/TLS. Additionally, being open-source and having an active developer community ensures timely fixes and updates for security vulnerabilities, providing reliable security assurance.

Due to the advantages of the ESP32 CAM, it has a wide range of applications in IoT projects. It can be used in areas such as smart homes, industrial automation, smart agriculture, and smart cities. For example, leveraging the high-performance camera and image processing capabilities of the ESP32 CAM, intelligent video surveillance and facial recognition systems can be implemented.

In the following, we'll use the M5Stack TimerCam as an example and provide a guide to help you set up your own video surveillance project.

We will provide tutorials for four different uses: Web camera, scheduled wake-up capture, push and pull RTSP streaming. However, before getting started, it is necessary to set up the Arduino working environment.

To set up the Arduino environment, we can complete the basic software installation by following the first step in the Arduino IDE environment setup tutorial. And then install the "M5Stack board management" and the "TimerCam-Arduino library" in the Library Manager, or manually clone it from the GitHub link and install it into the "C:\Users\PC\Documents\Arduino\libraries" directory.

1. Set up your webcam

1). Using the code below, we will explain how to initialize the camera, capture a frame of image data, and enable the Webserver Demo for image preview.

// Include the necessary header files

#include "battery.h"

#include "esp_camera.h"

#include <WiFi.h>

#include "soc/soc.h"

#include "soc/rtc_cntl_reg.h"

#include "camera_pins.h"

//Configure the Wi-Fi information for the camera to connect to

const char *ssid     = "******";

const char *password = "******";

void startCameraServer( );

void setup( ) {

}

void loop() {

// After startup, you can view the IP address assigned to the camera by serial communication. Here's the code that will continuously print the IP address for easy viewing

    Serial.print("Camera Ready! Use 'http://");

    Serial.print(WiFi.localIP());

    Serial.println("' to connect");

    delay(1000);

    digitalWrite(2, HIGH);

    delay(1000);

    digitalWrite(2, LOW);

}

2). Modify the code with the WiFi information section, and compile and burn the program to the device. Then, you can use the serial monitor to view the IP address assigned to the camera.

WiFi connected

Camera Ready! Use 'http://192.168.31.11' to connect

For devices on the same network, you can access 192.168.31.11 through a web browser to access the control page, where  can obtain real-time images and adjust image properties.

(Note: You need replace the IP address with the actual IP address printed on the serial monitor).

2. Scheduled wake-up capture

To achieve scheduled wake-up and capture using the RTC (Real-Time Clock) functionality for extended battery life, you can refer the code below. It captures an image during the period between camera startup and entering sleep mode. You can then transmit the image data to another location using a method such as HTTP POST for scheduled capture.

#include "battery.h"

#include "esp_camera.h"

#include <WiFi.h>

#include "soc/soc.h"

#include "soc/rtc_cntl_reg.h"

#include "led.h"

#include "camera_pins.h"

#include "bmm8563.h"

void setup() {

    Serial.begin(115200);

    WRITE_PERI_REG(RTC_CNTL_BROWN_OUT_REG, 0);  // disable   detector

    bat_init();

    led_init(CAMERA_LED_GPIO);

    bmm8563_init();

    // Configuration of the camera includes settings for pins, image size, and compression format.

// Setting a large image size or high image quality may result in insufficient memory allocation, leading to initialization failure.

    camera_config_t config;

    config.ledc_channel = LEDC_CHANNEL_0;

    config.ledc_timer   = LEDC_TIMER_0;

    config.pin_d0       = Y2_GPIO_NUM;

    config.pin_d1       = Y3_GPIO_NUM;

    config.pin_d2       = Y4_GPIO_NUM;

    config.pin_d3       = Y5_GPIO_NUM;

    config.pin_d4       = Y6_GPIO_NUM;

    config.pin_d5       = Y7_GPIO_NUM;

    config.pin_d6       = Y8_GPIO_NUM;

    config.pin_d7       = Y9_GPIO_NUM;

    config.pin_xclk     = XCLK_GPIO_NUM;

    config.pin_pclk     = PCLK_GPIO_NUM;

    config.pin_vsync    = VSYNC_GPIO_NUM;

    config.pin_href     = HREF_GPIO_NUM;

    config.pin_sscb_sda = SIOD_GPIO_NUM;

    config.pin_sscb_scl = SIOC_GPIO_NUM;

    config.pin_pwdn     = PWDN_GPIO_NUM;

    config.pin_reset    = RESET_GPIO_NUM;

    config.xclk_freq_hz = 20000000;

    config.pixel_format = PIXFORMAT_JPEG;

    config.frame_size   = FRAMESIZE_UXGA;

    config.jpeg_quality = 10;

    config.fb_count     = 2;

// Initialize the camera

    esp_err_t err = esp_camera_init(&config);

    if (err != ESP_OK) {

        Serial.printf("Camera init failed with error 0x%x", err);

        return;

    }

    sensor_t *s = esp_camera_sensor_get();

//  Initially flip the sensor vertically and adjust brightness and saturatio

s->set_vflip(s, 1);        // flip it back

    s->set_brightness(s, 1);   // up the blightness just a bit

    s->set_saturation(s, -2);  // lower the saturation

    // Set Frame Size

    s->set_framesize(s, FRAMESIZE_QVGA);

    camera_fb_t *fb = NULL;

    esp_err_t res   = ESP_OK;

    // Get a frame of image data

    fb = esp_camera_fb_get();

    if (!fb) {

        Serial.println("Camera capture failed");

    }

    Serial.println("Camera capture OK");

    // Acquired image data

    uint8_t *data_buffer = fb->buf;

    size_t data_len      = fb->len;

    //...................

    // You can perform data processing in this section and send it to the server using the HTTP method.

    //...................

    // Set a 5-second wake-up interval.

    bmm8563_setTimerIRQ(5);

    delay(1000);

}

void loop( ) {

    // Power off.

    // The device enters sleep mode and wakes up after 5 seconds to start executing the program from the beginning. (This only applies when powered by a battery.)

    bat_disable_output();

}

3. Push and pull RTSP streaming

RTSP, short for Real-Time Streaming Protocol, is a network transmission protocol used to control the real-time transmission of data in multimedia applications. It is commonly used in conjunction with streaming media servers and clients to achieve real-time streaming and playback of audio and video content. Here is a brief description of the applications of RTSP and the meanings related to push and pull:

RTSP Applications:

Streaming Media Transmission: RTSP is widely used in streaming media applications such as online video streaming, video-on-demand, and video conferencing. It enables clients to work collaboratively with streaming media servers by negotiating session parameters, controlling playback status, and data transmission methods, thus achieving real-time media data transmission and playback.

Surveillance Systems: RTSP is commonly used in surveillance cameras and camera systems, allowing users to remotely monitor video streams over the network. This is particularly useful for home security, enterprise security, and public safety.

Video Conferencing: RTSP is used in video conferencing applications, allowing multiple participants to share audio and video data in real-time, enabling remote collaboration.

Audio Streaming: RTSP not only supports video streaming but also facilitates the transmission of audio streams. This is important for applications such as audio broadcasting and audio conferences.

Push and Pull

Push: Push refers to the process of sending multimedia data (typically audio and video) from a source to the network, allowing other devices or users to access and play it in real-time. Typically, the media source generates data and then pushes it to a streaming media server using a streaming media transfer protocol (such as RTSP, RTMP, HLS, etc.). The process from the source to the server is called "push".

Pull: Pull refers to the process of retrieving multimedia data from a streaming media server and decoding and playing it at the receiving end. Users or client devices request specific media content from the streaming media server using the same streaming media transfer protocol. This process is called "pull".

In summary, RTSP is an essential protocol for real-time streaming transmission widely used in the multimedia domain, enabling users to transmit and play audio and video data in real-time over the internet. Push involves sending media data to the network, while pull involves retrieving and playing media data from the network. Together, they form the core of streaming media services.

Using the Camera as an RTSP Server

By running the examples -> rtsp_stream code, you can configure the device as an RTSP server. Devices on the same network can access the real-time image by using a media player (such as VLC Player) and accessing rtsp://192.168.xxx.xxx:8554/mjpeg/1 (Note: Please replace the IP address with the actual IP address obtained from the serial monitor).

« ..WiFi connected

RTSP URL: rtsp://192.168.2.175:8554/mjpeg/1

LinkedListElement (0x3ffdb9ac)->(0x3ffdb9ac)->(0x3ffdb9ac)

Creating TSP streamer

Created streamer width=640, height=480

Relevant Links

 rtsp_stream relies on the Micro-RTSP library, which can be installed by following the dependency prompts when installing the TimerCam-arduino library. Alternatively, you can manually clone and install it using the GitHub link provided. VLC Player is a powerful media player that we will use for pulling/streaming tests in the subsequent testing phase.

- Micro-RTSP

- VLC player

VLC Player Pull Streaming

Configuration of Streaming Relay Server

Distributing HTTP Streaming Sources

In the previous demo, we used the camera as an RTSP server, but there are limitations in terms of performance, especially when multiple clients want to pull the stream, it can be challenging. In some cases, you may want to distribute media resources to external servers or live streaming platforms, or achieve stronger multi-device access capabilities. In the following, we will use an open-source RTSP server project combined with the ffmpeg tool to implement streaming (forwarding TimerCAM data to the server) and pulling (clients pulling video resources from the server).

Here we need to burn the camera with the first web_cam demo program mentioned at the beginning of the article, and we can directly access the image stream through http://IP:81/stream.

Visit EasyDarwin - Github releases, download the release version to your local machine, and extract it. Run it as a service and start the server. (Note: Please use the sudo command to run it, otherwise, you may not have permission to open the port.)

cd EasyDarwin

sudo ./start.sh

#sudo ./stop.sh 

Then please use ffmpeg to configure forwarding, and use the IP and port used in the previous demo for TimerCAM's running port and IP. The latter is the IP of the RTSP server (EasyDarwin) (default port 554, followed by a customizable ID number).

Note: Before executing this command, make sure to start the camera and ensure that the image can be previewed correctly on the webpage.

ffmpeg -re -i http://192.168.2.175:81/stream -rtsp_transport tcp -vcodec h264 -f rtsp rtsp://192.168.2.89:554/666

After completing the previous configuration, open a browser and enter http://IP:10008 to access the EasyDarwin control page. The default username and password are admin/admin. (Replace IP with the IP address of the Linux host).

By refreshing the page, we can see a new streaming address added to the control page. We can use general media player software such as VLC to fill in the corresponding streaming address to pull the video and locally cache the recording. Additionally, you can use multiple clients simultaneously for streaming playback.

Distributing Pull Sources

If the camera is being used as an RTSP server, you can also directly configure the pull forwarding in the EasyDarwin backend. For more details, please refer to the EasyDarwin GitHub repository.

The biggest contributor to indoor air pollution is not formaldehyde or PM2.5 but the often-overlooked carbon dioxide. Once carbon dioxide reaches a certain level, it can pose a serious health risk, and no air purifier can effectively filter it. It is crucial to understand the health hazards, normal ranges, and solutions regarding indoor carbon dioxide concentrations.

What are the typical indoor and outdoor carbon dioxide concentrations? Within the normal range, carbon dioxide is harmless to the human body. In the natural environment, the concentration of carbon dioxide is approximately 0.04% (400 PPM), which may reach around 500 PPM in urban areas. In unoccupied indoor environments, the carbon dioxide concentration usually ranges from 500 to 700 PPM.

At what PPM level does carbon dioxide become harmful to health? The human body is highly sensitive to increases in carbon dioxide, with every 0.5% increase noticeably affecting the body. When the concentration reaches 1% (1000 PPM), individuals may experience stuffiness, lack of concentration, and palpitations. At 1500-2000 PPM, symptoms such as breathlessness, headaches, and dizziness may occur. Concentrations exceeding 5000 PPM can lead to cognitive impairment and confusion.

In real-life scenarios, carbon dioxide concentrations often exceed safe levels. For instance, when two individuals sleep overnight in a sealed bedroom, carbon dioxide concentrations can easily reach 2000 PPM. When the carbon dioxide concentration in an office space reaches 2000 PPM, employees may experience fatigue, lack of concentration, and mental exhaustion. Beyond 2000 PPM, individuals may even feel disinclined to continue working, and their cognitive abilities can significantly decline.

Maintaining good ventilation, regularly opening windows for fresh air and using air purifiers are effective methods of reducing indoor carbon dioxide levels. Among these methods, the carbon dioxide sensor is an important tool.

Today, we are introducing two CO2 measuring sensors for detecting carbon dioxide concentrations: CO2L Unit and TVOC/eCO2 Unit.

CO2L Unit is a digital CO2 concentration detection unit with a low-power mode designed for single-shot measurements. It features the Sensirion SCD41 sensor and a voltage regulator circuit, and communicates via I2C. This unit is suitable for measuring environmental conditions, with a typical accuracy of ±(40 ppm + 5% of the reading) for CO2 measurements. The measurement range for CO2 is 400 ppm to 5000 ppm, and it can also measure ambient temperature and humidity simultaneously.

TVOC/eCO2 mini Unit is a digital multi-pixel gas sensor unit that integrates the SGP30 sensor internally. It is primarily designed for measuring the concentrations of various volatile organic compounds (VOCs) and H2 in the air. Through programming, it allows for the measurement of TVOC (Total Volatile Organic Compounds) and eCO2 (Equivalent Carbon Dioxide) concentrations. The typical measurement accuracy within the measurement range is 15%. The SGP30 sensor communicates using the I2C protocol and has an on-chip humidity compensation feature that can be enabled with an external humidity sensor. The SGP30 also has a built-in calibration function, allowing users to calibrate it based on known measurement sources. Once internally calibrated, the SGP30 provides stable long-term output. Additionally, it's important to note that eCO2 is derived from H2 concentration, so the TVOC/eCO2 mini Unit cannot fully replace a CO2 sensor.

CO2 Monitoring Solution:

Here, we will introduce three methods to monitor the CO2 levels in the environment using the CO2L Unit and TVOC/eCO2 Unit and display the data on M5Stack Basic.

Method one: Use EasyLoader to get started.

This is the simplest and fastest way, let’s get it started!

Steps:

1. Open the documentation for the CO2L Unit  and  TVOC/eCO2 Unit .

2. Download the Easyloader program for each unit, which is a quick verification program.

3. Click to install when the download is complete. 

4. Select the port (here we choose COM34, but it's worth noting that different computers may display different COM ports, so please select the appropriate port), then click "burn" to start the program burning process.

It’s downloading and burning now.  Once completed, the screen will display "Successfully".

Then, the sensor will begin collecting carbon dioxide data from the air and display it on the Basic. The display effect will be as shown in the following image.

Method two: using source code in Arduino IDE

Next, I’ll lead the way to burn the firmware using the source code. We will use Arduino IDE as the programming environment.

Program CO2L Unit in Arduino IDE

1. The first step is to install the M5Stack development board in the Arduino IDE, which has been covered in our previous article.

2. Open the official documentation for the CO2L Unit , where we provide information about CO2L Unit and its relative code.

3. At the bottom of the documentation page, there are links to download the Arduino sample code. Since we are using the Core series Basic host today, please click on the first link.

4. Open the link and go to the entire project file.

5. Please click on the "Code" here to download the compressed file.

6. Please extract the compressed file into the "libraries" folder within the Arduino installation directory.

7. Open Arduino IDE, and click File>Examples>M5Unit-ENV>Unit_CO2_M5Core

8. Select the board

Select M5Stack-Core-ESP32 and the corresponding port (in this case, it is COM34, but the COM port may differ on different computers). Click OK.

9. Click the right arrow icon to upload the code.

When the upload is complete, we can see that the M5Stack Basic host screen is already displaying the CO2 concentration, as shown in the picture.

ProgramTVOC/eCO2 Unit in Arduino IDE

Next, we will continue to use the TVOC/eCO2 Unit to display the CO2 concentration.

1. Similarly, the first step is to install the M5Stack development board in the Arduino IDE, which has been covered in our previous article .

2. Open the documentation for the TVOC/eCO2 Unit. You can find information about the product and related code. 

3. At the bottom of the documentation, there is a link to download the code.

4. Open the link and go to the entire project file.

5. Please click on the "Code" here to download the compressed file.

6. Please extract the downloaded installation package into the "libraries" folder within the Arduino installation directory.

7. Open Arduino IDE, and click File>Examples>M5Stack>Unit>TVOC-SGP30

8. Select the board

Select M5Stack-Core-ESP32 and the corresponding port (in this case, it is COM34, but the COM port may differ on different computers). Click OK.

9. Click the right arrow icon to upload the code.

When the upload is complete, we can see that the M5Stack Basic host screen is already displaying the CO2 concentration, as shown in the picture.

Method three: using EasyLoader to get started

Finally, we introduce M5Stack’s graphical programming software UIFlow. It is convenient for those who are not familiar with coding.

1.To begin with, you need to install the firmware burning tool "Burner".

Note that different operating systems require different versions of Burner to be downloaded.

M5Burner_Windows: https://m5burner.m5stack.com/app/M5Burner-v3-beta-win-x64.zip

M5Burner_MacOS: https://m5burner.m5stack.com/app/M5Burner-v3-beta-mac-x64.zip

M5Burner_Linux: https://m5burner.m5stack.com/app/M5Burner-v3-beta-linux-x64.zip

Note:

For macOS users, after installing Burner, please move the application to the "Applications" folder as shown in the following image.

For Linux users, navigate to the extracted file directory and run "./M5Burner" in the terminal to launch the application.

2. Firmware Burning

Double-click to open the Burner firmware burning tool. In the left-side menu, select the corresponding device category and choose the firmware that matches your device, and click the“Download”button.

Connect the device to your computer using a Type-C data cable. Burner will automatically select the corresponding COM port. You can use the default configuration for the baud rate in M5Burner. Click "Burn" to start the burning process.

During the firmware burning stage, you need to enter the WiFi information in the WiFi configuration box. The WiFi information will be burned and saved to your M5Stack device along with the firmware.

Then, click "Start" to begin the burning process. Note: If a timeout occurs during the burning process, you can try lowering the baud rate to 115200.

When the burning log displays "Burn Successfully," it indicates that the firmware has been successfully burned.

If this is the first time burning or if the firmware program is running abnormally, you can click on "Erase" in the top right corner to erase the flash memory. In subsequent firmware updates, there is no need to erase again. However, please note that erasing the flash memory will delete the saved Wi-Fi information and refresh the API key.

3. Obtaining API Key

Please connect your M5Stack device to the computer using a Type-C data cable and select the corresponding COM port.

1). Click on "Configuration" to view the API Key information, which will appear in the configuration box. (Please copy and save the API Key as it will be used as credentials for UIFlow communication going forward).

2). Set the "Start Mode" to "Internet Mode." After completing this configuration, the device will automatically restart and enter online programming mode.

3). For further explanation of other configuration options in the configuration box, please refer to the configuration instructions below.

4. M5Burner Configuration Instructions

If you need to modify the configuration file, please connect your M5 device to the computer using a Type-C data cable and select the corresponding COM port. Then, you can click on "Configuration" to make the modifications.

APIKEY: The communication credentials for M5Stack device when using UIFlow web programming.

Start Mode: Configurable startup mode after booting.

Quick Start: Option to enable quick start to skip the startup interface.

Server: Selection of the server.

WiFi: Configuration of WiFi SSID and password.

COMX: Option to enable COMX.LTE network (this feature requires stacking the COMX.LTE module, for detailed instructions, please refer to the "Network Over COM.LTE Tutorial").

APN: Configuration of APN access point for COMX.LTE module. 

5. After completing the above steps, you can now start using UIFlow for programming.

Enter the UIFlow website URL in your browser: https://flow.m5stack.com/

Here, we will choose UIFlow 1.0 for now, as the list of supported devices for UIFlow 2.0 is still being expanded.

① In Step 3, we have got an API Key, and here we enter it in the bottom-left corner of the screen.

Then the screen will display “Connected”.

② At the "Add Units" section, add the "CO2L Unit" and select "OK."

Click “Load Examples”

④ Click on "Run" or "Download" (running is for testing the code and you can see the results on the host, but the code will not be saved on the device if power is disconnected. Downloading, on the other hand, will save the code on the device, and it will be retained even if power is disconnected. Choose based on your needs. If you choose to modify the code and upload it again, you will need to re-burn the firmware, which is discussed in Step 2).

The device will now start working as shown in the following image.

For the TVOC/eCO2 mini Unit, just follow the same steps as mentioned above, with the difference being the sensor selection during the unit addition. After completing the addition, select the example code, click "Run," and the device will start functioning normally.

Today's tutorial is complete here.

For an introduction to UIFlow statements, you can refer to https://docs.m5stack.com/en/quick_start/m5core/uiflow.

In the future, we will have a dedicated section specifically for explaining UIFlow statements. Stay tuned for that!

Source: Svet Kompjutera (World of Computers)

Author: Dejan Petrovic

Link: M5Stack Core2 - Slaganje cigala i u mreži - SVET KOMPJUTERA (sk.rs)

Translate: M5Stack

 M5Stack is a company engaged in the production of hardware and software in the field of the Internet of Things (IoT). Their most famous product series is the stackable devices, hence the name. These devices can be microcontroller boards, development boards with screens, sensors, and more. There are various solutions available with different sizes, power, and hardware functionalities (Stack, Stick, Atom). The common feature is that they can be stacked together. This allows for ready-made solutions suitable for different needs and projects. We obtained the Core2 from M5Stack, which is a standalone and complete device.

One impressive aspect of Core2 is the availability and completeness of the hardware and software created by M5Stack... 

The Core2 is a compact device, measuring approximately 54x54x16 millimeters and enclosed in a white plastic casing. At the heart of the system lies the Espresif ESP32-D0WDQ6-V3 microcontroller. This dual-core 32-bit Xtensa LX6 chip operates at a frequency of 240 megahertz. M5Stack has added additional memory, including 16 megabytes of flash memory and 8 megabytes of PSRAM.

Unlike typical ESP32 modules found in the market (with onboard antennas), the Core2 doesn't follow that form factor. Instead, it provides an interface for an external antenna, allowing the manufacturer to have flexibility in antenna design. In this case, M5Sttack have opted for a 3D antenna, which is clearly a superior solution compared to a printed antenna. The ESP32 itself can connect to Wi-Fi and Bluetooth, although only one radio can be used at a time, with both sharing the same antenna. 

Core2 utilizes a USB-C interface for programming and power supply, which uses the CH9102F UART for communication with a computer and is equipped with a circuit for automatically downloading user programs. There is also a JST connector on the board for the same purpose. It is worth noting that M5Stack can be stacked, and the USB interface can be extended using a cable. Core2 can be powered by a battery, and surprisingly, it is equipped with a 390 milliamp-hour lithium-ion battery integrated into the bottom gray casing cover. The AXP192 chip is responsible for battery management, and this programmable circuit is connected to the ESP32 chip via the I2C interface. The chip controls power consumption and notifies the status through the PWR LED. Additionally, it also allows for device shutdown through software. The SY7088 is used as a boost converter. There are two buttons on the casing, 'RST' and 'PWR', with the latter connected to the AXP192. Furthermore, the Core2 casing is secured with internal hex screws and comes with an accompanying wrench with a data cable.

Core2 comes with a rich set of features, and the bottom cover is labeled with tags. Despite being small, each aspect of the device is clearly marked, including pin layouts and other identifiers. If Core2 is used as a clock, it is equipped with the BM8563 real-time clock (RTC) chip, onnected to the ESP32 via the I2C interface. We haven't utilized the RTC functionality yet, but there are corresponding libraries available on the Arduino IDE. Additionally, there is a microSD card slot, a vibration motor, and a speaker. The speaker faces the NS4168 I2S audio driver, providing excellent sound effects. The motor is directly connected to the AXP192. In Core2, the AXP192 plays a more important role, with many EN pins connected to it. This applies to the NS4168, BM8563, and even the LED.

However, the most notable feature is undoubtedly the 2-inch color screen with an integrated capacitive touchscreen (FT6336U). The screen has a resolution of 320x240 pixels and is driven by the ILI9342C driver. We are very pleased with the screen display; although it may not compare to smartphone screens, it is excellent for the purpose of a development board. If you find that the screen calibration and touch sensitivity are not satisfactory, you can download M5TOOL from the official DOCS page to upgrade the firmware. There are three clearly marked touch areas below the screen that can be programmed as needed.

Core2 is equipped with two expansion ports. The smaller four-pin Grove on the side is actually an I2C interface. Grove is a variant of Seeedstudio, similar to QWIIC, STEMMA, easyC, and others. However, unlike other listed variants, M5Stack's Grove has a wider pin spacing and is not compatible with other brands. At the bottom, there is a large 2x15 female header, which is connected to the unused pins of the ESP32. All labels are clearly printed on the bottom, and Core2 can be powered using regulated voltage through the 5V pin. This header can also be used to stack additional modules, and these modules can have any functionality. Core2 comes with a smaller base (M5GOBottom2) that can fit perfectly into the casing and act as a cover for the header. It features the MPU6886 and SPM1423 chips. The former is a motion-tracking sensor that combines a three-axis accelerometer and gyroscope, while the latter is a microphone. 

All M5Stack development boards are available in the ESP32 package in the Arduino IDE. For full hardware functionality, M5Stack provides corresponding Arduino libraries. However, M5Stack recommends adding special support through the JSON software package:

https://m5stack.oss-cn-shenzhen.aliyuncs.com/resource/arduino/package_m5stack_index.json,

which helps reduce the hassle when programming and interacting with the internal hardware of Core2. The same approach applies to libraries added for the specific hardware used, such as M5Core2, through "Include Library -> Manage Libraries...". The list of libraries to be installed is quite long. Hardware management is divided into five sections: AXP192, CORE2 LCD, Button, TOUCH, and RTC, each with its own corresponding and well-documented library available. For example, printing "Hello World" typically requires only a few lines of code:

#include <M5Core2.h>

Void setup(){

M5.begin();

M5.Lcd.print("Hello World!");

}

Void loop(){

}

The graphics API does not adhere to the familiar AdafruitGFX, but it has very detailed documentation and allows for creative freedom. It enables drawing various geometric shapes and also supports loading bitmaps from the microSD card. The documentation page (DOCS) is highly detailed, and we really have no complaints in this regard.

Arduino is not the only starting point for learning programming with this device. M5Stack offers UIFlow, MicroPython, and .NET nanoFramework as alternative options. MicroPython does not have a dedicated compiler but can utilize the general compiler of the ESP32. We are not familiar with this approach and have not had any experience with it. However, the most interesting option is undoubtedly UIFlow (www.flow.m5stack.com). This "programming language" is actually a visual "blocks" language. If you recall our discussion about BBC micro:bit and MakeCode, there are many similarities here. It's similar to MIT App Inventor as well. It's a visual block-based approach but based on Python. Above the toolbar, besides the project name, there is a tab to switch between the "block world" and the "Python world" editors. Before any programming, you need to download the M5Burner tool, which is used to load the necessary firmware and the interface for interacting with the "blocks" into the Core2, as well as local network data. We know that these parameters are not cleared when loading user programs. In addition to input parameters, M5Burner also displays the API key, which is important for establishing a connection between UIFlow and Core2.

Let's continue discussing UIFlow. The top toolbar of UIFlow contains various tools and shortcuts. Here, you can open new projects, save existing projects, and more. However, the most important option is "Settings," where you can select the device, port, and enter the API key. After that, you can choose whether to connect Core2 to the computer via a data cable or program it without connecting the data cable. Yes, Core2 supports wireless programming (Over the Air, OTA), similar to MikroElektronika's CodeGrip (although CodeGrip is actually something else). After opening Core2, three options are displayed on the screen: App, UIFlow, and Setup. We are interested in the second option, where we can choose the programming mode, either USB or Wi-Fi. We choose Wi-Fi and disconnect the USB cable from Core2. There is a detailed tutorial on the assembly of "blocks" on the DOCS page, so we won't go into detail here. The UIFlow interface consists of a left section, which can be called a graphical drag-and-drop screen designer, and the middle section is a strip of basic blocks that we can simply drag into the editor on the right. Once the "construction" is complete, the "modules" are loaded onto Core2 almost instantly (in less than a second) by clicking the "Run" button. 

We are absolutely thrilled with the availability of M5Stack in terms of hardware and software. The efforts put into it have yielded significant results. It is fascinating, especially with Core2, as it can be used directly as a finished product without any modifications. For instance, it can display data from a server and more, without even requiring a case. It is evident that it can be flexibly stacked according to needs. What's even more interesting is that it can be programmed anywhere as long as it is connected to the internet. We highly recommend it without a doubt.

Source: Svet Kompjutera (World of Computers)

Author: Dejan Petrovic

Link: https://www.sk.rs/arhiva/clanak/32212/m5stack-atom-s3-atom-je-zapravo-mali

Translate: M5Stack

Last December, we covered some new products from M5Stack, one of which is the Atom S3. We got our hands on this compact device from M5Stack, and now let's write a few sentences about its introduction. In our article about M5Stack Core2, we mentioned that M5Stack's concept is to combine different microcontrollers, screens, sensors, and actuators through stacking to create a variety of completely different devices. Atom S3 also follows this principle.

This is an incredibly small device, measuring 24×24×13 mm and weighing only about 6.8 g. Without requiring any additional components, it can be used as a stand-alone unit (node) or as part of a larger system to perform various tasks. In fact, Atom S3 provides almost all the necessary functions to act as a control device. The core of this tiny Atom S3 is the ESP32-S3FN8 microcontroller from Espressif. We have previously written about the ESP32-S3, which features a dual-core Xtensa 32-bit LX7 processor with a clock frequency of 240 MHz, 384 kilobytes of ROM, 512 kilobytes of SRAM, and 16 kilobytes of RTC SRAM. Atom S3 sacrifices additional flash memory storage due to its size. With a 3D metal antenna, the Atom S3 can connect to a 2.4 GHz local area network, supporting the 802.11b/g/n standard with data transfer rates of up to 150 Mbps, and supports Station, SoftAP and Station+SoftAP modes.. The Bluetooth version of ESP32S3 chip is 5.0 and it also supports Bluetooth Mesh, making it convenient to communicate with other devices in the network. The data transfer rate of Bluetooth is also noteworthy, reaching up to 24 Mbps per second.

Despite its small size, Atom S3 offers quite a few peripheral devices. The first thing that catches the eye is a compact 0.85-inch LCD screen with a resolution of 128×128 pixels, which is connected to the ESP32-S3 via the SPI interface. The model of this screen is N085-1212TBWIG06-C08. We don't have much data about it, but we can confirm that the display quality is excellent. In fact, ATOM S3 consists of two PCB boards, forming a sandwich structure, with the smaller PCB located below the screen, carrying the MPU6886, which is a high-performance six-axis MEMS motion tracking device and a 6DOF (Six Degrees of Freedom) device. The MPU6886 combines a three-axis accelerometer and gyroscope with high precision and sensitivity. It is connected to the ESP32-S3 via I2C. Previously, we obtained a small add-on board called M5GOBottom2 with an MPU6886 together with the M5Stack Core2 kit. Inside ATOM S3, there is also a green LED (WS2812 RGB LED) and an IR LED (infrared emitter/transmitter).

Atom S3 can be connected to a computer using a USB-C connector, and it's worth noting that the ESP32-S3 has a direct USB port (CDC function) for programming through that port. AtomS3 is usually powered via USB-C (but can also be powered through the header connector), and the voltage regulation is handled by SY8089, which is a step-down regulator that allows an input voltage range of 3.3V to 5V and provides a maximum current output of 500mA.

In the Atom series of products, the bottom-exposed pins can be defined for functions such as I2C, SPI, UART, GPIO, and ADC. There is an expansion header connector called ATOM-MATE, which allows users to connect to other sensors, actuators, or external devices to expand the usage range by accessing the pins on the bottom of Atom. Additionally, Atom S3 has a programmable button and a programmable RGB LED that can be used for user interaction and status indication.

Atom S3 supports Arduino IDE, MicroPython, and UIFlow, which allows developers to write applications using familiar development environments and languages and leverage rich libraries and resources. M5Stack provides extensive documentation, sample code, and tutorials to help users get started and develop their own projects.