Jawabreh0/gun-detection

Basic gun detection algorithm, designed using YOLOv7 with AR-15 guns training data

35
/ 100
Emerging

This project helps security professionals automatically identify guns in images and video feeds. It takes visual input (images or video frames) and outputs the precise location of any detected firearms, specifically AR-15 style rifles. This is ideal for surveillance operators or security analysts monitoring live feeds or reviewing footage.

No commits in the last 6 months.

Use this if you need an automated system to flag the presence and location of guns in visual data for security or monitoring purposes.

Not ideal if you need to identify a wide variety of weapon types beyond guns, or if you don't have access to a GPU and a Google Colab environment.

physical-security surveillance threat-detection security-monitoring
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 13 / 25

How are scores calculated?

Stars

16

Forks

3

Language

Python

License

MIT

Last pushed

Mar 11, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Jawabreh0/gun-detection"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.