Real-Time Driver Drowsiness & Yawn Alert System with OpenCV

Project Overview & Abstract

Real-time safety vision project tailored for AI&DS students. Uses Dlib 68-point facial landmark predictor to continuously compute the Eye Aspect Ratio (EAR) and Mouth Aspect Ratio (MAR). Emits warning buzzers when drowsy states persist over threshold seconds and logs trip safety scores to an SQLite database.

Technologies & Tools Used

PythonOpenCVdlibSciPyTkinterPygame Audio

Deliverable Package File Contents

Source Code ZIP Archive

Complete executable project folder with all scripts & configuration.

IEEE Project Report (.docx & PDF)

Includes Abstract, Literature Survey, System Design, Data Flow, Test Cases, and References.

PPT Presentation Deck (.pptx)

Ready 15-20 slide presentation deck formatted for university viva evaluation.

Complete Deliverables PackageVERIFIED

Source Code, IEEE Report & PPT

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Verified Source Code (ZIP)

Formatted IEEE Project Report (.docx/PDF)

Seminar PPT Presentation

Execution Video & Setup Guide

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