Machine Learning with Raspberry Pi RP2040 and Edge Impulse: Sensor Fusion for Environment Monitoring

Using Edge Impulse platform's latest addition to list of fully supported boards, Pico RP2040 and Sensor Fusion feature to read the data from VOC Gas and Temperature and Humidity sensors, run them through a neural network model on the device to get an early warning if food burning is detected in the kitchen.
If repeating the experiment, exercise caution!

P.S. I apologize in advance for less-than-optimal sound quality: it's the first time I'm making video in my ad-hoc studio and I didn't realize there was a noise problem until after I finished recording everything...

Links:
Github repository
https://github.com/AIWintermuteAI/example-standalone-inferencing-pico-fusion

Edge Impulse Public Project
https://studio.edgeimpulse.com/public/82126/latest

Edge Impulse Blogs
https://www.edgeimpulse.com/blog/sensor-fusion-with-machine-learning-on-edge-impulse
https://www.edgeimpulse.com/blog/announcing-official-support-for-the-raspberry-pi-pico-rp2040

Materials mentioned in the video
https://www.true-builders.com/blog/5-most-common-causes-of-kitchen-fires/
https://pubmed.ncbi.nlm.nih.gov/31810669/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5687062/
https://en.wikipedia.org/wiki/Volatile_organic_compound
https://www.epa.gov/indoor-air-quality-iaq/what-are-volatile-organic-compounds-vocs

Видео Machine Learning with Raspberry Pi RP2040 and Edge Impulse: Sensor Fusion for Environment Monitoring канала Hardware.ai