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Using Edge Impulse, a Raspberry Pi, and a Notecard for cellular data, this IoT project lets you set up a portable speed trap to measure traffic in your neighborhood.

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rdlauer/pispeedtrap

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Busted! Create an ML-Powered Speed Trap

In this project, I built a portable speed trap that can be used to monitor traffic speed conditions in your neighborhood. By using an ML model to identify vehicles, a doppler radar sensor to detect speed, and a cellular module to relay collected data to the cloud, it was surprisingly easy to build out this IoT solution!

Watch an intro video and then view the complete tutorial over at Hackster.io!

field deployment

Field deployment 👆

ubidots dashboard

Ubidots dashboard 👆

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Using Edge Impulse, a Raspberry Pi, and a Notecard for cellular data, this IoT project lets you set up a portable speed trap to measure traffic in your neighborhood.

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