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

Fast Real-time Object Detection with High-Res Output https://x.com/_akhaliq/status/1840213012818329826

Your Window to Seamless Surveillance and Work Harmony!

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.

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.

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).

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

Real-time monitoring, object tracking, and line-crossing detection for CCTV camera streams.

ESP32-based camera trap with PIR sensor.

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

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.

Enhance your SAP ERP master

Object Detection Web App using YOLOv11 and Flask. Supports RTSP Streams and Video Uploads. A study case for a Fall Detection System for the Elderly.