Engineered a real-time social distancing detection solution leveraging YOLOv3 for human detection, OpenCV for video processing, and Perspective transformation for bird's-eye view visualization.
Applied Euclidean distance method to precisely measure distances between individuals, enabling classification of bounding boxes into high, low and no risk categories for effective monitoring in public spaces and workplaces
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Developed a real-time social distancing system with YOLOv3 for human detection, OpenCV for video processing, and Perspective transformation for bird's-eye view. Used Euclidean distance for accurate distance measurement, categorizing individuals into high, low, and no-risk groups for monitoring in public areas and workplaces.
SJ-Kumar/Social-Distance-Monitoring
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Developed a real-time social distancing system with YOLOv3 for human detection, OpenCV for video processing, and Perspective transformation for bird's-eye view. Used Euclidean distance for accurate distance measurement, categorizing individuals into high, low, and no-risk groups for monitoring in public areas and workplaces.
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