CCTV Security cam NVR accessible via web directly or through Cloud. service. Run on Raspberry pi

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.

Ethically hacking into a simulated CCTV system (Zoneminder) to intercept and record live CCTV footage thereby highlighting the risks associated and offering mitigation strategies.

IP Camera Motion Detection with Telegram Alerts is a Python-based security tool that monitors a specified region of an IP camera feed for motion and sends real-time alerts via Telegram.

YOLOv8 handles real-time object detection, spotting people, vehicles, and activity around your home. Potential threats are then analyzed and summarized by ChatGPT, turning raw detections into clear security logs. Together, they provide an AI-powered CCTV system that both sees and thinks.

A production-grade, deep-learning-based anomaly detection system for CCTV surveillance footage. This project uses a PyTorch-based Convolutional Autoencoder to achieve high precision in identifying unusual events. The system is deployed as a scalable REST API using FastAPI and Docker, enabling real-time video analysis. It also includes an MLOps.

Detects firearms in real-time from CCTV videos, highlighting them within bounding boxes for immediate attention

Cloud service for one or more security-cam NVR systems

CCTV multiplexer for the Raspberry Pi

SMTP server that converts CCTV NVR email alerts to webhooks - motion detection and health check notifications.

ابزار جستجو برای دوربین مداربسته آی پی و پیدا کردن لینک rtsp url

Who Am i 🎭 🇮🇩

COMPX527-21B A2:AWS CC App Service to detect suspicious behaviour on submitted CCTV footage

CamViewer is a simple web-based CCTV dashboard that allows you to stream multiple RTSP camera feeds through a clean HLS interface.

NVR and other scripts for use in budget CCTV cameras

ESP32-based camera trap with PIR sensor.

افزونه وردپرس تایم لپس دوربین مداربسته

A monitoring / early warning system for a Raspberry Pi.

This project focuses on developing an Automated Classroom Attendance System leveraging Deep Learning and Transformer models to accurately count students in classrooms. By addressing challenges like occlusions, overlapping individuals, and varied lighting conditions, the system ensures high accuracy and robust performance in real-world scenarios.

A lightweight Python web application built with Flask that turns your webcam into a basic CCTV system. Stream the live camera feed in your browser, record footage hourly, browse saved videos, and start/stop recording from the interface.