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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.
A fire detection and response system using the ESP32-S3 and MLX90640 IR thermal camera. Detects high-temperature zones via thermal imaging and triggers a relay-based actuator, sending real-time fire alerts over WiFi.
An Arduino-based fall detection system using MPU6050 sensor with buzzer and LED alarm, resettable via push button. Designed for safety monitoring and wearable applications.