Smart Driver Drowsiness Detection Model Based on Analytic Hierarchy Process
نویسندگان
چکیده
منابع مشابه
A Review on Driver Drowsiness Detection Techniques
Number of accidents during driving is increasing day by day and drowsy driving has been implicated as a causal factor in many accidents. Goal of driver drowsiness detection systems is to reduce these accidents. It has been seen that most of the accidents occur due to driver’s fatigue and a small due to inattention factor, therefore this paper reviews driver’s fatigue monitoring techniques in de...
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Today most accidents are caused by drivers’ fatigue, drowsiness and losing attention on the road ahead. In this paper, a system is introduced, using RGB-D cameras to automatically identify drowsiness and give warning. In this system two important modules have been utilized simultaneously to identify the state of driver’s mouth and eyes for detecting drowsiness. At first, using the depth informa...
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With the rapid development of science and technology and the accelerated pace of urbanization, the construction of smart city has been also widely spread across our country. Although smart city construction is making progress, the smart city assessment system has been barely used to evaluate the situation of smart city construction. Therefore, a case study of “Quality Changsha” has been covered...
متن کاملDriver Drowsiness Detection System Using Image Processing
Drivers who do not take regular breaks when driving long distances run a high risk of becoming drowsy a state which they often fail to recognize early enough according to the experts. Studies show that around one quarter of all serious motorway accidents are attributable to sleepy drivers in need of a rest, meaning that drowsiness causes more road accidents than drink-driving. Attention assist ...
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Driving with drowsiness is one of the main causes of traffic accidents. Driver fatigue is a significant factor in a large number of vehicle accidents. The development of technologies for detecting or preventing drowsiness at the wheel is a major challenge in the field of accident avoidance systems. Due to the hazard that drowsiness presents on the road, methods need to be developed for countera...
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ژورنال
عنوان ژورنال: Sensors and Materials
سال: 2021
ISSN: 0914-4935
DOI: 10.18494/sam.2021.3034