Do you have problems with drivers speeding on the road?With this raspberry pie You can confirm the speed trap project created by Rob Lauer. It is powered by machine learning technology that can identify the vehicle and capture its current speed.
The project helps manufacturers by automatically recording traffic data to track the frequency and severity of speeders. The Raspberry Pi captures the speed and images of the vehicle, and then forwards the data to a cloud-based dashboard.
In order to build a speed trap unit, Lauer chose to use Raspberry Pi 4. It is connected to Raspberry Pi camera module V2 for image capture and Doppler radar sensor for speed data input.A kind Blues Wireless Raspberry Pi Starter Kit Used for its cellular module.
Lauer used Edge Impulse to create a custom machine learning model for the project. For machine learning novices, the model is essentially a database containing reference files or images. In this case, it can help Pi recognize the vehicle. The wireless module sends the data to the cloud-based dashboard so that the user can observe the traffic and speed data in real time.