Abstract: The Vehicle Speed Detection and Notification System for College Campus using Video Processing is a prototype system designed to monitor and regulate vehicle speed within a college campus. The system uses video processing techniques to detect and track vehicles within the campus, and notifies the authorities if any vehicle is found to be exceeding the speed limit. The prototype system uses OpenCV library to extract video from the camera, and implements Haar Cascade Classifier algorithm for vehicle detection. The system also includes a notification system that alerts the authorities via SMS or email. The prototype system has been successfully implemented and tested, and has the potential to be used as an effective tool for regulating vehicle speed and ensuring safety within college campuses.
Keywords: Principal Component Analysis (PCA), Pytesseract Algorithm, Background Subtraction, Haarcascade classifier
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DOI:
10.17148/IJARCCE.2023.124162
