Drivers' Real-Time Drowsiness Identification Using Facial Features and Automatic Vehicle Speed Control

نویسندگان

چکیده

The road crash is one of the significant problems that great concern in today's world. Road accidents are often caused by drivers' carelessness and negligence. drowsy condition drivers, which occurs due to overwork, fatigue, many other factors, those causes. It therefore most critical establish systems can detect driver's state provide drivers with appropriate warning system. In addition automatic speed control car, this system thus supports incidents providing warnings advance. This means collisions harmful living lives minimised. achieved using technique image recognition, where driver drowsiness observed, method, simultaneous monitoring vehicle carried out.

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ژورنال

عنوان ژورنال: International Journal of Computer Communication and Informatics

سال: 2021

ISSN: ['2582-2713']

DOI: https://doi.org/10.34256/ijcci2114