Implementation of Vehicle Counting Functionality
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To implement the vehicle counting functionality, we will establish a virtual detection zone within the video frame and increment a counter each time a vehicle passes through this zone. This approach typically involves computer vision techniques using background subtraction algorithms (like MOG2 or KNN) to detect moving vehicles, followed by blob analysis to track their movement across the detection line. The counter increases by 1 when a vehicle's centroid crosses the predefined detection boundary, ensuring accurate real-time vehicle quantification. The implementation would require OpenCV functions such as cv2.VideoCapture for video input, cv2.createBackgroundSubtractor for motion detection, and cv2.boundingRect for vehicle dimension analysis.
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