Safe Driving Assistant : Advancing Drowsiness Detection With Deep Learning Techniques

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• Create Date 7 August, 2025
• Last Updated 14 August, 2025

Authors :Kunal Borole, Aryan Dadhe, Aditya Jathar, Lloyd Mendonca, Prof. Sandhya Dhage

DOI : 10.46335/IJIES.2024.9.7.6

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Abstract— The majority of human deaths and injuries are caused by traffic accidents. A million people worldwide die each year due to traffic accident injuries, consistent with the World Health Organization. Drivers who do not receive enough sleep, rest, or who feel weary may fall asleep behind the wheel, endangering both themselves and other road users. "Safe Drive Assistant" is an advanced system designed to address critical issues in road safety, including drowsiness detection, distraction identification, road rage detection and drunk driving detection. The system utilizes facial recognition and eye-tracking techniques to detect signs of drowsiness, such as drooping eyelids and slow eye movements. Upon detecting drowsiness, the system promptly alerts the driver through visual and auditory alarms, ensuring timely intervention to prevent potential accidents. Furthermore, "Safe Drive Assistant" incorporates sophisticated algorithms to identify distractions within the vehicle environment, such as mobile phone usage, eating, or engaging in conversations. Additionally, "Safe Drive Assistant" integrates sensors and algorithms to detect signs of intoxication, such as impaired motor skills and erratic driving patterns. Through comprehensive analysis of driver behavior and physiological indicators, the system alerts the driver and relevant authorities in cases of suspected drunk driving, facilitating timely intervention and enforcement of appropriate measures to ensure road safety.