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AI-powered Driver Monitoring System using Python, OpenCV and MediaPipe.
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AI-powered Driver Monitoring System using Python, OpenCV and MediaPipe.
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Gagandeep-2003 /
AI-powered Driver Drowsiness Detection System using Computer Vision & Machine Learning for real-time driver alertness monitoring and accident prevention.
60/100 healthKesihambigai22 /
AI-powered Driver Monitoring and Vehicle Anomaly Detection System using ESP32, OpenCV, MediaPipe Face Landmarker, EAR-based drowsiness detection, and real-time RPM anomaly monitoring.
64/100 healthVirgileDjimgou /
AI-powered driver monitoring and video telematics prototype built with Python, YOLOv8, DeepSORT, MediaPipe. The system analyzes webcam or offline video clips to detect risky driver behaviors such as phone use, distraction, drowsiness, yawning, and seatbelt absence, then tracks incidents over time, computes a cumulative driver safety score.
54/100 healthharinandsindukumar /
RoadRakshak AI 2.0 – Description RoadRakshak AI 2.0 is an advanced driver safety system designed to prevent accidents caused by drowsiness and inattention. It is implemented using Python and OpenCV, and it works with any standard webcam and PC. This AI-powered system monitors the driver’s face in real time and provides instant alerts.
45/100 healthalhoripy /
AI-powered driver drowsiness detection system using OpenCV, MQTT, and ESP32.
53/100 healthArchitected a privacy-first Edge AI driver safety system on Raspberry Pi 4 using 3 real-time data streams (vision, steering, vitals). Built a Python pipeline with 6+ features including PERCLOS, yawning, and gaze detection for fatigue/distraction monitoring. Integrated ESP32 alerts with GPS-based emergency notifications.
59/100 health