Paper Key : IRJ************519
Author: Swayam Mahendra Khobragade
Date Published: 03 Apr 2024
Abstract
Driver fatigue is a critical factor in road safety, often leading to accidents and injuries. To address this issue, a novel driver fatigue detection system based on deep learning is proposed in this study. The system employs a convolutional neural network (CNN) to analyse real-time facial expressions and eye movements of the driver. By training the CNN on a comprehensive dataset containing diverse fatigue levels, the system can accurately classify the driver's fatigue state. Additionally, the system integrates sensor technology to monitor the driver's vital signs, such as heart rate and skin conductance, further enhancing the detection accuracy. Experimental results demonstrate the effectiveness of the proposed system in accurately detecting driver fatigue, thereby contributing to road safety.
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