Implementation of Driver's Fatigue Detection System using Machine Learning
Year: 2025
Type: article
Abstract: Driver fatigue is a significant factor behind many road accidents globally. The YOLO (You Only Look Once) object identification model and computer vision techniques are used to construct a real-time driver sleepiness detection system in order to solve this problem. To identify early indicators of exhaustion and send out appropriate messages, the system examines facial traits including eye closure, yawning, and head posture. Key face landmarks can be quickly and accurately detected by using YOLO. In order to improve road safety, the system can be included into contemporary car safety frameworks and attain high precision and real-time performance.
Authors: Kharat, Tushar, Meshram, Samyank, Kadam, Karan, Kardile, Atharva, Bhusare, Prof. Gajanan
Institution: Zeal College of Engineering and Research, Pune
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6911751457
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