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S. Dantata

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Open access Aug 2026

A LIGHTWEIGHT CNN-BASED ANDROID VISION SYSTEM FOR REAL-TIME DRIVER DROWSINESS DETECTION USING EYE-STATE ANALYSIS

A lightweight CNN-based Android vision system for real-time driver drowsiness detection using eye-state analysis that combines Haar Cascade classifiers for real-time face and eye localization with a custom Convolutional Neural Network for classifying eye states as open or closed.

Benisemeni Esther Zakka, Fabunmi Esther Omowunmi, Gloria Ngozi Jola et al. · 0 citations

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