نتایج جستجو برای: drowsy driver detection and warning system

تعداد نتایج: 17228430  

Journal: :iJES 2013
Olfa Jemai Ines Teyeb Tahani Bouchrika Chokri Ben Amar

Drowsiness is defined as the "inclination to sleep" and is also commonly referred to as "sleepiness". It is a natural occurrence in the human body that can affect individuals in different ways. Driver impairment due to drowsiness is known to be a major contributing factor in many motor vehicle crashes. Hence, the need of a reliable driver drowsiness detection system which could alert drivers be...

Journal: :International Journal of Advanced Computer Science and Applications 2023

Drowsiness in drivers is the major cause for these fatal road accidents. Hence detecting drowsiness and alerting them on time very important to avoid Researchers have developed several techniques detect driver warn driver. However, past there no work done towards end-to-end system. Therefore, this proposed system, it will ensure that awake through its multi-stage (i.e., three stage) The at firs...

2013
Ashish Jain Rahil Gandotra Tushar Madan

A Real-time Driver Fatigue Detection System has been developed, using image processing concepts. The system monitors the driver’s eyes in order to detect fatigue. In such a case when fatigue is detected, a warning signal is issued to alert the driver. This report describes how to find the eyes, and also how to determine if the eyes are open or closed. The system deals with using information obt...

Journal: :مجله علوم اعصاب شفای خاتم 0
ahmad ali lotfinia shefa neuroscience research center, khatam alanbia hospital, tehran, iran.

sleep deprivation is a condition of not having enough sleep it can be either chronic or acute. a chronic sleep-restricted state can cause fatigue. fatigue is a subjective state related to sleep deprivation, the more someone is deprived of sleep the more likely that person is to be fatigued. several studies indicated that drowsiness/fatigue can affect steering performance and speed control. rese...

2007
Ilkwon Park Jung-Ho Ahn Hyeran Byun

In this paper, we propose an efficient measurement of the eye blinking for drowsy driver detection system that is one of the driver safety systems for the intelligent vehicle. However, during the real driving in the daytime, driver’s face is exposed to various illuminations. It makes too difficult to monitor driver’s eye blinking. Therefore, we propose efficient formation of the cascaded form o...

Journal: :Journal of Informatics Electrical and Electronics Engineering (JIEEE) 2023

The process of determining if a person, generally driver, is becoming sleepy or drowsy while performing task such as driving known drowsiness detection. It necessary system for detecting and alerting drivers to their tiredness, which might impair ability lead accidents. project aims create reliable efficient capable real-time detection using OpenCV, Dlib, facial landmark technologies. project's...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده اقتصاد 1393

due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...

2002
Ellen M. Ayoob Aaron Steinfeld Richard Grace

Considerable progress has been made in measuring drowsiness and understanding its effects upon human performance in the laboratory and in simulated and operational driving conditions. This work builds upon previous research and identifies an appropriate design for a drowsy driver detection interface. A participatory design process was used that included both design experts and drivers in separa...

2016
Parisa Ebrahim

The increase in vehicle accidents due to the driver drowsiness over the last years highlights the need for developing reliable drowsiness assistant systems by a reference drowsiness measure. Therefore, the thesis at hand is aimed at classifying the driver vigilance state based on eye movements using electrooculography (eog). In order to give an insight into the states of driving, which lead to ...

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