weapon-detection and Firearm_Detection_In_CCTVs_Using_YOLOv5

weapon-detection
31
Emerging
Firearm_Detection_In_CCTVs_Using_YOLOv5
29
Experimental
Maintenance 0/25
Adoption 6/25
Maturity 8/25
Community 17/25
Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 8/25
Stars: 21
Forks: 9
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stars: 9
Forks: 1
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No License Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About weapon-detection

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.

physical-security surveillance threat-detection weapon-screening security-operations

About Firearm_Detection_In_CCTVs_Using_YOLOv5

dhvani-k/Firearm_Detection_In_CCTVs_Using_YOLOv5

Detects firearms in real-time from CCTV videos, highlighting them within bounding boxes for immediate attention

This project helps security personnel and public safety officers instantly detect firearms in live CCTV video feeds. It takes footage from surveillance cameras and automatically highlights any identified firearms with a bounding box, providing immediate visual alerts. This tool is designed for those who monitor security cameras and need rapid alerts for potential threats.

public-safety security-monitoring threat-detection surveillance emergency-response

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