Real-time driver drowsiness detection system using computer vision, OpenCV, and MediaPipe face mesh. Monitors eye movements and calculates Eye Aspect Ratio (EAR) to detect fatigue, providing immediate visual alerts for enhanced driving safety.

Python ve ESP8266 tabanlı; otonom termostat kontrolü, Telegram üzerinden acil durum (yangın/donma) protokolleri ve sensör hata toleransı sunan Endüstriyel IoT Güvenlik Sistemi.

FlameWatch: Real-time fire detection using webcam with HSV color + flicker verification, bounding boxes, live logs, and auto alarm — built with Python, OpenCV, NumPy, Pygame & Tkinter.

🚨 Python-based fire alarm detection system — real-time sensor monitoring with automated alert triggers and notification support

A real-time computer vision pipeline for automated traffic monitoring, featuring multi-class vehicle tracking, vector-based speed estimation, and license plate recognition served via a REST API.

Real-time driver drowsiness detection using MobileNetV2 & MediaPipe

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.