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.
No commits in the last 6 months.
Use this if you need an automated system to enhance public safety by identifying firearms in real-time surveillance footage.
Not ideal if you need to identify a wide range of objects beyond firearms or if you require forensic analysis of archived footage.
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9
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 23, 2023
Commits (30d)
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