Indoor air quality monitoring with Raspberry Pi and digital art #ArtTuesday #RaspberryPi @hacksterio @raspberry_pi
Maureen Rakotondraibe posts on hackster.io an Indoor Air Quality monitoring system via soothing digital art to control air quality aesthetically without over-stressing about it.
Indoor Air quality (IAQ) depends on numerous factors which includes temperature, humidity, particulates, and volatile organic compounds. Those factors and their consequences can be pretty scary, but my idea is to enable people to monitor their indoor air quality with as less stress as possible.
That’s why I chose sinusoidal curves to represent each factor. The higher the frequency means the higher the value compared to a reference curve. If the value is on the low side, the frequency will be lower than the reference curve.
As an embedded software engineer, I wanted to experiment with interfacing digital art, sensors and cloud visualization.
The system uses a Raspberry Pi 3B+, a SEN54 sensor and a display programmed in Processing. It uploads data to the cloud (IoT) via ThingSpeak.
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