Weapon Detection & Classification through CCTV surveillance using Deep Learning-CNNs.

Your Window to Seamless Surveillance and Work Harmony!

This is a simple CCTV system. It uses your webcam to take live video that can be streamed to a web portal on a local web server (nginx).

Violence recognition 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.

My main goal is to build an innovative technological solution that could detect sexual harassment in real-time, which is much needed to fill in the gap left void by traditional methods, by which I aim to create a safer work environment, overcome reporting hesitancy, support HR and legal management, reduce psychological and physical stress.

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

ESP32-based camera trap with PIR sensor.

Python application for real-time multi-camera CCTV video ingestion and person detection using TensorFlow's SSD MobileNet V2. Features parallel processing, robust error handling, and saves processed videos in MP4 format.

Child labour is a significant problem in most developing countries, damaging, spoiling and destroying children's futures. Child labour can result in extreme bodily and mental harm and even death. To overcome the problem, we have approached a technical solution by creating a model using video classification techniques to detect child labour actvts.

Home network setup

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