Object Detection project using OpenCV for Retail Security. This project focuses on leveraging computer vision to detect and track people in a retail store environment. The system uses OpenCV for object detection, and once a person is detected, a tracking algorithm is employed to draw a line representing their movement within the store. Key Features: Person Detection: Utilize OpenCV's object detection capabilities to identify individuals within the retail space. Motion Tracking: Implement a tracking algorithm to follow the movement of detected persons. Line Drawing: Visualize the trajectory of each person by drawing a line that represents their path in the retail store. Real-time Monitoring: Achieve real-time monitoring of customer movement for security and analytics purposes. Configurable Parameters: Easily configure parameters such as detection thresholds and tracking settings to adapt the system to different environments.
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Object Detection project using OpenCV for Retail Security. This project focuses on leveraging computer vision to detect and track people in a retail store environment. The system uses OpenCV for object detection, and once a person is detected, a tracking algorithm is employed to draw a line representing their movement within the store.
praju2601/Object-detection-using-OpenCV
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Object Detection project using OpenCV for Retail Security. This project focuses on leveraging computer vision to detect and track people in a retail store environment. The system uses OpenCV for object detection, and once a person is detected, a tracking algorithm is employed to draw a line representing their movement within the store.
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