About this document
Deep Learning Drowsiness Detection System by kholodicharef is a document available to read on EtoBox.
The document outlines the development of a deep learning-based driver safety system aimed at detecting drowsiness while driving, addressing the limitations of traditional detection methods. It evaluates various CNN models using a dataset of facial images and reports that EfficientNetV2 achieved the highest accuracy of 99.98%. The conclusion emphasizes the potential for real-time deployment and the integration of hybrid sensor fusion in future developments.
- Author
- kholodicharef
- Language
- EN