Abstract
The problem of counting cars on a highway using standard video surveillance equipment was set and solved with the OpenCV computer vision library. The library made possible to grab each video stream frame in real time and process incoming information. Data processing was performed using a segmented neural network. Accuracy in 70% of correct definition of cars was reached.
Published Version
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