نتایج جستجو برای: driver drowsiness detection

تعداد نتایج: 604433  

Journal: :iJES 2013
Belhassen Akrout Walid Mahdi

The supervision of people in special circumstances, having as their purpose detecting risk situations, is an area which has many applications. In this context we are interested, in this paper, the problems of driver drowsiness detection based on video analysis. We describe a new approach to detect reduced alertness automatically, to prevent the driver. Unlike many other works, our noninvasively...

Journal: :Communications in Mathematics and Applications 2022

The driver sleepiness is common and one of the main causes road accidents. So, there a need for automatically detecting this human behaviour. In any case, if drivers feel drowsy, they still keep on driving vehicle, accidents occur. This study can be implemented using CNN training model initiating an alarm drowsiness condition detected. Many authors suggested process Drowsiness (Problem Statemen...

Journal: :International Journal of Advanced Computer Science and Applications 2020

2015
Bikramjit Singh Chandan Deep Singh Jaswinder Singh Chandan Deep

The increasing technological inventions like cellular phones and GPS devices, we observe increasing number of distractions to divert the driver’s attention. This distraction has led to increasing number of accidents on road, which brings a need of a Drowsiness Detection System that calculates various eye parameters to help the driver stay alert. This type of system brings about alertness and ac...

Every year, many people lose their lives in road traffic accidents while driving vehicles throughout the world. Providing secure driving conditions highly reduces road traffic accidents and their associated death rates. Fatigue and drowsiness are two major causes of death in these accidents; therefore, early detection of driver drowsiness can greatly reduce such accidents. Results of NTSB inves...

2012
Jzau-Sheng Lin

Drowsy driving is one of important factors to cause the car accident. The parents usually worry about the traffic safe of their children. Therefore, we proposed a drowsy detection and monitoring system through Internet in this paper. Firstly, the brain wave was captured by single channel EEG device. Therefore the drowsy state of driver can be analyzed by drowsiness detection system. The system ...

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