The Environmental Sense mask monitors air quality in real time
The Environmental Sense mask monitors air quality in real time
Arduino Team — April 27, 2023
Hazardous pollution in the form of excess CO2, nitrogen dioxide, microscopic particles and volatile organic compounds has become a growing concern, especially in developing countries where access to cleaner technologies may not be available or widely adopted. Krazye Karthik's Environmental Sense Mask (ES-Mask) aims to draw attention to these harmful compounds by displaying real-time ambient air quality measurements.
In order to obtain values for Air Quality Index (AQI), CO2, Volatile Organic Compounds (VOCs) and Temperature/Humidity, Karthik selected the Nicla Sense ME due to its built-in Bosch BME688 sensor module. In addition to providing this data via Bluetooth® Low Energy, the Nicla Sense ME also sends it via I2C to an MKR WiFi 1010 which is responsible for analyzing the data. Once done, a comment is generated for the current AQI ranging from "excellent" to "unsafe". This reading is displayed on an attached OLED display and a ring of 24 NeoPixel LEDs light up depending on the level of hazardous pollutants.
Beyond the microcontroller and sensor components, Karthik added a 5V fan to a mask as well as some air filters to help increase the cleanliness of the air he breathed. Finally, he created a mobile application that retrieves data via BLE and displays it in an organized format.
For more details on the ES Mask, you can check out Karthik's article here on the Arduino Project Hub.
Arduino Team — April 27, 2023
Hazardous pollution in the form of excess CO2, nitrogen dioxide, microscopic particles and volatile organic compounds has become a growing concern, especially in developing countries where access to cleaner technologies may not be available or widely adopted. Krazye Karthik's Environmental Sense Mask (ES-Mask) aims to draw attention to these harmful compounds by displaying real-time ambient air quality measurements.
In order to obtain values for Air Quality Index (AQI), CO2, Volatile Organic Compounds (VOCs) and Temperature/Humidity, Karthik selected the Nicla Sense ME due to its built-in Bosch BME688 sensor module. In addition to providing this data via Bluetooth® Low Energy, the Nicla Sense ME also sends it via I2C to an MKR WiFi 1010 which is responsible for analyzing the data. Once done, a comment is generated for the current AQI ranging from "excellent" to "unsafe". This reading is displayed on an attached OLED display and a ring of 24 NeoPixel LEDs light up depending on the level of hazardous pollutants.
Beyond the microcontroller and sensor components, Karthik added a 5V fan to a mask as well as some air filters to help increase the cleanliness of the air he breathed. Finally, he created a mobile application that retrieves data via BLE and displays it in an organized format.
For more details on the ES Mask, you can check out Karthik's article here on the Arduino Project Hub.
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