Aegis — Unofficial Home Assistant integration for Ajax Security Systems and co-branded apps
A DIY security alarm system — powered by a Raspberry Pi. Supports hardwired and MQTT sensors.
Real-time multi-camera face tracking system with PyQt5 interface and alert notifications (including Telegram notifications). Supports webcams, RTSP streams, and provides face recognition with InsightFace models.
AI-powered computer vision system for real-time workplace safety monitoring. Detects people and PPE compliance (helmets, vests) using YOLO models with intelligent tracking and MP4 output.
Decentralized AI-Powered IoT Security System for the Pi Network
Motion detection using OpenCV (Raspberry Pi compatible), alerting through pushbullet, served with flask.
An easy to implement project for home-made security system
Custom built security system that can alert users via email when motion has been detected. The system also records video streams when motion is detected for later viewing.
AutoGate AI is an advanced vehicle access system that uses YOLOv10 and EasyOCR for real-time license plate detection and automated gate control.
Raspberry Pi 5 security system combining real-time YOLOv8 object detection and YAMNet audio classification, with alerts via LED, alarm and email notifications.
TRI-GATE is an AI-powered automated access control system for secure vehicle entry. It combines license plate recognition, vehicle classification, and facial verification using deep learning and computer vision to ensure only authorized drivers are granted access.
Advanced AI Surveillance System using YOLOv11 & InsightFace. Features Real-time License Plate Recognition (LPR) for Persian plates, Military-grade Face Recognition, and Encrypted Database Security.
Next-Generation Smart Security System using Raspberry Pi, OpenCV, TensorFlow Lite, and Telegram alerts for real-time animal detection and surveillance.
Face-Recon is a cutting-edge, AI-powered security and access control system that combines multiple advanced technologies to provide intelligent, secure, and scalable authentication solutions. This open-source project represents the future of access control systems, designed for applications ranging from small offices to enterprise-level security
A lightweight Python and OpenCV motion-detection script that tracks movement, saves intruder snapshots, and logs security events in real-time.
An IoT-powered Vehicle Security Intelligence Platform built with ESP32, MQTT, Python, and Streamlit. The system provides real-time vehicle tracking, geofence monitoring, theft detection, telemetry processing, security analytics, event logging, and live dashboard visualization through a complete end-to-end IoT architecture.
Security monitoring system in Python with user roles, incident reporting, camera management, and activity logs.
An advanced desktop-based smoke detection system using computer vision and a modern PyQt6 GUI. Designed with scalable architecture, real-time monitoring, and production-ready modular structure. Suitable for smart buildings, warehouses, offices, and IoT integration projects.
Master’s Thesis in Software Engineering developed during a professional internship: a computer vision–based security system for banking self-service machines (ATMs/VTMs).
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