This project addresses the escalating challenge of gun violence through the development of an advanced gun detection system.
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Updated
Aug 5, 2024 - Jupyter Notebook
This project addresses the escalating challenge of gun violence through the development of an advanced gun detection system.
This project aims to develop a real-time face mask detection and classification system using computer vision techniques.
This project demonstrates how to perform object detection and tracking on CCTV footage using YOLOv8 and Supervision libraries.
AngelSecurityTeam/Cam-Hackers fork tailored for vanilla Python 3
This repository contains the implementation of a project focused on the detection of violent activities in streaming video using Transfer Learning and MoViNets. The project leverages state-of-the-art deep learning techniques to create an efficient and accurate violence detection system.
An open source CCTV cameras visualizer and recorder
An indigenous system design for anomaly detection from CCTV camera feed
Hack Cameras CCTV FREE
Detects the abnormal behaviors of passengers on a ship so we can prevent accidents from occurring
Detects firearms in real-time from CCTV videos, highlighting them within bounding boxes for immediate attention
This is the repository of Team Incognito - SE3. This contains all the source code to build the FireProtector applications.
This is a facerecognition model made using python. It mainly gets a face img as a input and identifies that face in a video.
Access Public CCTV Cameras Easily.
Textile Detection from CCTV Surveillance videos
Mobile app for the CCTV smart monitoring system
Construction of a lumbar weapon detection system through CCTV cameras with the help of artificial intelligence neural network (YOLO_v5), which has been trained by the private dataset of Pashtaw.
A real-time human counter that uses HOG and SVM. Developed as project for the Computer Vision course at Sapienza University of Rome (2021-22)
Fight Detection From Surveillance Cameras by fine-tuning a PyTorch Pretrained Model
Made a project that detects movement of any object or a person, detects a video and sends it to the author via mail. It also saves all the frames that detect movement. Go through readme for a deep understanding of my project
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