Driver fatigue detection using Raspberry-Pi
نویسندگان
چکیده
<span>The subject of fatigue monitoring is becoming more important in transportation and traffic management (including, for instance, the development systems to detect prevent driver drowsiness). People who work offices are also susceptible exhaustion, but there currently no widely deployed system that able monitor this condition. In most cases, driver’s eyelids will become heavy due exhaustion after lengthy hours driving or absence mental concentration. Typically, when concentration begins fade, audio alert would be provided force drivers awake. recent times, drowsiness risky since it can result an accident. Thus, a solution has been proposed identify by comparing several algorithms find improved accuracy execution time. Besides, with audible warning event detected.</span>
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ژورنال
عنوان ژورنال: Indonesian Journal of Electrical Engineering and Computer Science
سال: 2023
ISSN: ['2502-4752', '2502-4760']
DOI: https://doi.org/10.11591/ijeecs.v32.i2.pp1142-1149