a mini project aiming to detect weapons in real time through cameras and notify authorities in instant

This project proposes a software solution with face recognition and weapon detection to improve perimeter security. Using face recognition algorithms, the system seeks to identify possible invaders into the military bases while concurrently identifying and categorizing any weapons they could be carrying.

Iterate.ai has open-sourced a powerful Weapons Detection AI software. The AI was trained on about 100 live guns, plus 20,000 videos of robberies and threats involving weapons. Our engineers taught the AI to detect guns, knives, kevlar vests, and robbery masks.

Aims at helping Policemen to identify a potentially dangerous situation like a person holding a deadly weapon and is trained especially for detection of the presence of GUNS in an image.

fire and weapon detection

The system uses an IP camera for taking inputs. Whenever a weapon is detected, the system alerts the security instantly and prevents any big accident from happening.

Identifying Guns using Machine Learning for Image recognition with a Rapid Response System to Save Lives

AI-driven weapon detection system for real-time surveillance. Developed on TensorFlow, achieved precision of 0.8524 and 0.7006 at IoU 0.50 and 0.75. Utilizes key frame extraction and SSD-MobileNet, enhancing efficiency. Developed on Windows 10, Python 3.7.3, and TensorFlow 1.14.0. Boosts security with low-cost, automated threat recognition.

It is an AI based weapon and intruder detection system using cctv camera on live footage built in Django and Yolo model.

Video vision transformers for hierarchical anomaly detection in video scenes.

Two neural networks to detect weapons and violence in videos

AI-based System for Automatic Detection and Recognition of Weapons in Surveillance Video

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

weapon detection python opencv with yolov5

Weapon detection model using YOLOv5 pytorch

Image&Video Recognizer with Yolov5

A Real time weapon Surveillance tool supported with the real time feed from cctv / webcam /drone footage,which sends alerts with the detected frame to the nearby stations/user/countys , so as to prevent crimes/murders in the city.This project is open for all.Feel free to send pull requests with new features and improvements.

Package for firearm detection.

Aims at helping Policemen to identify a potentially dangerous situation like a person holding a deadly weapon and is trained especially for detection of the presence of GUNS in an image.