MEMEX Weapons Pilot for the illegal weapons domain.
-
Updated
May 20, 2016 - JavaScript
MEMEX Weapons Pilot for the illegal weapons domain.
Weapon Detection
This web visualisation is base on the Weapons ID database provided by Small Arms Survey.
A barebone model built for detecting weapons in an image. It was built using YOLOv2 (You Only Look Once Algo version2). The model is built upon Darknet YOLO but is also ported on Tensorflow Lite, Protobuf file and also in YAD2K (Keras port of YOLO).
Weapon Detection & Classification through CCTV surveillance using Deep Learning-CNNs.
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.
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.
Image&Video Recognizer with Yolov5
Weapon detection model using YOLOv5 pytorch
weapon detection python opencv with yolov5
Basic gun detection algorithm, designed using YOLOv7 with AR-15 guns training data
AI-based System for Automatic Detection and Recognition of Weapons in Surveillance Video
Two neural networks to detect weapons and violence in videos
Video vision transformers for hierarchical anomaly detection in video scenes.
It is an AI based weapon and intruder detection system using cctv camera on live footage built in Django and Yolo model.
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.
Identifying Guns using Machine Learning for Image recognition with a Rapid Response System to Save Lives
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.
Add a description, image, and links to the weapon-detection topic page so that developers can more easily learn about it.
To associate your repository with the weapon-detection topic, visit your repo's landing page and select "manage topics."