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Comparative Analysis of Optimal Techniques for Sleepiness Detection

This project tackles the prevalent issue of driver fatigue, a significant factor in road accidents. The main goal is to identify the most effective machine-learning or deep-learning technique for detecting drowsy/tired drivers through a comprehensive comparison of different methods. These innovative approaches have the potential to improve the accuracy and efficiency of drowsiness detection, contributing to advancements in road safety technology. By focusing on reshaping detection strategies, this study emphasizes the crucial role of mathematics in this domain.

Keywords: Mathematics,Machine Learning,Deep Learning,Python
Tools: Jupyter Notebook,Python
Department: Department of Mathematics

Project Team Members

Name Email
Iqra Iqbal iqra2020@namal.edu.pk
Anam Rafique anam2020@namal.edu.pk

Project Poster

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