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AIDS/AIMLComputer Vision / Automotive SafetyIEEE Final Year Projects
Driver Drowsiness and Distraction Monitor
Real-time facial landmark analyzer tracking Eye Aspect Ratio (EAR) and head pose to sound drowsiness alarms.
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Project Technical Overview
Uses OpenCV and MediaPipe facial mesh running on edge devices. Measures blink duration, yawning frequency, and phone-distraction head tilts, triggering immediate auditory alerts to prevent vehicular accidents.
IEEE ResearchStandard Publication & Conference Literature
Read the foundational IEEE conference research paper, citations, and algorithmic architecture for this project.
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