bharatc9530/weapon-detection
Pistol, Rifle, and Fire detection using yolov4-tiny in videos as well as images. Training code, dataset, and trained weight file available.
This project helps security personnel and surveillance operators automatically identify handguns, shotguns, and knives in video feeds or images. It takes raw video footage or image files as input and outputs flagged instances where these specific weapons are detected. Security teams can use this to enhance monitoring and response.
No commits in the last 6 months.
Use this if you need an automated way to detect handguns, shotguns, and knives in visual media for security or surveillance applications.
Not ideal if you need to detect a broader range of objects beyond these specific weapons, or if you require real-time, low-latency performance on edge devices without customization.
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Last pushed
Oct 15, 2020
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