One relatively positive side effect of living through a global pandemic has been filling the void with family walks.
Yep, we actually had to interact with each other.
One thing I started to notice, though, was the reckless driving on some neighborhood streets. With others in similar situations, walking around and crossing busy intersections, I thought it would be cool to stop assuming reckless driving behaviors and start measuring the frequency of speeding along some nearby roads.
So I did something about it!
I built a portable "speed trap" that uses a machine learning model from Edge Impulse to identify vehicles, a doppler radar sensor to measure speed, and a cellular module to report data to the cloud.
Ready? View the complete tutorial over at hackster.io!
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