A real time, webcam based, driver attention state detection/monitoring system in Python3 using OpenCV and Mediapipe
Real-time driver drowsiness and distraction detection system. EU regulation C(2023)4523 compliant gaze zone detection.
Real-time driver fatigue detection system built with Python, OpenCV and MediaPipe. Detects drowsiness using EAR, MAR, PERCLOS, head pose estimation and a fatigue scoring system with Streamlit dashboard.
Detector de somnolencia - Ultralytics RTDETR
Real-time driver drowsiness & distraction detection on a plain laptop CPU - four chained OpenVINO models + a 30s PERCLOS scorer. 25-30 FPS, <8 MB models, fully offline. No GPU, no cloud.
Reproducible evaluation of an eye-state + temporal-alerting drowsiness pipeline, with subject-disjoint testing, baselines, failure analysis and oracle decomposition.
Real-Time Driver Drowsiness Detection with CBAM-CNN
Real-time driver drowsiness detection system using MediaPipe, EAR, MAR, PERCLOS, head-pose estimation, and intelligent alerting.
Real-time AI-based driver drowsiness and behavior monitoring system using computer vision, sensor fusion, and multi-level alerts.
Offline in-browser drowsiness monitor — PERCLOS eye-closure detection, runs entirely on-device
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