Read video live from a Raspberry Pi Camera Module V2 30 fps.The system is broken into four major components: These values can be changed within the AppConfig.cpp file. Note: you will need to modify the calibration region areas to correspond to your video's capture. Move the produced executables to the root directory and run the generated traffic-monitor file Make a build directory within the traffic-monitor root folderĬhange directory to the build directory and use CMake to build the project Run the following command to activate the camera module ![]() Install OpenCV v4.0.0 and if you wish to run tests, install GTest as well. Install the V4L dependency on your Raspberry Pi This opens the possibility to identify areas of high speed violations and provides cost savings through the removal of human counters. The solution proposed uses an inexpensive Raspberry Pi 3 Board B+ with an attached Camera V2 module to perform vehicle counting, speed calculations, and data logging. This project aims to reduce the manual labor associated with traffic surveying.
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