amin-tohidi/Detection-of-pistol-by-deep-learning-With-YOLO_v5
Construction of a lumbar weapon detection system through CCTV cameras with the help of artificial intelligence neural network (YOLO_v5), which has been trained by the private dataset of Pashtaw.
This project offers an automated system to detect firearms in real-time surveillance footage. It processes live video streams from CCTV cameras and identifies individuals carrying pistols, providing an alert to security personnel. This tool is designed for security managers, law enforcement, or operations teams responsible for safety in public or sensitive areas.
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Use this if you need an automated, highly accurate system to enhance security monitoring in public places like airports, banks, or jewelry stores by identifying individuals carrying concealed weapons.
Not ideal if you require detection of weapon types other than pistols, or if you don't have existing CCTV camera infrastructure for deployment.
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Last pushed
Apr 15, 2022
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