The Human Face Counting System is designed to count the number of people using image processing techniques. A camera captures live images, and OpenCV algorithms running on an SBC detect and count human faces in real time. The system provides accurate crowd count information. This helps in managing occupancy and monitoring public spaces. This project uses an SBC, camera module, OpenCV algorithms, image processing, and embedded programming, making it suitable for crowd monitoring and surveillance applications.
Department
Electronics and Communication Engineering
Type
major
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