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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Driver sleep detection and alarming system |
| Authors Name: | Ghadge Abhishek Milind , Prof. Bhalerao. B.L. , Borate Ravi Devidas , Metkari Saurabh Natha , Borate Vaibhav Suresh |
| Unique Id: | IJSDR2306032 |
| Published In: | Volume 8 Issue 6, June-2023 |
| Abstract: | An embedded system is a special-purpose system in which the computer is completely encapsulated by or dedicated to the device or system it controls. Unlike a general-purpose computer, such as a personal computer, an embedded system performs one or a few predefined tasks, usually with very specific requirements. Since the system is dedicated to specific tasks, design engineers can optimize it, reducing the size and cost of the product. Embedded systems are often mass-produced, benefiting from economies of scale. Driver drowsiness system is used to detect the drowsiness. Drowsiness is the main reasons of accident. Safe driving is a major concern of societies all over the world. Thousands of people are killed or seriously injured due to drivers falling asleep at the wheels each year. It is essential to develop a real time safety system for drowsiness related road accident prevention. There are many methods for detecting the driver drowsiness. Driver fatigue is a significant factor in a large number of vehicle accidents. It includes the measurements of physiological features like EEG, heart rate, pulse rate, eyelid movement, gaze, head movement and behaviours of the vehicle, lane deviations and steering movements.[3] After long hours of driving or in absent of alert mental state, the eyelids of driver will become heavy due to fatigue. The attention of driver starts to lose focus and that creates risks for accidents. These are typical reactions of fatigue, which is very dangerous. Recent statistics estimate that annually1,200 deaths and 76,000 injuries can be attributed to fatigue related crashes. These accidents can be controlled by development of technologies for detecting or preventing drowsiness. A real time monitoring system, to insure accuracy in detecting drowsiness of the driver and that will work in both daytime and night time conditions is required. |
| Keywords: | Driver sleep detection and alarming system |
| Cite Article: | "Driver sleep detection and alarming system", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 6, page no.210 - 221, June-2023, Available :http://www.ijsdr.org/papers/IJSDR2306032.pdf |
| Downloads: | 000337351 |
| Publication Details: | Published Paper ID: IJSDR2306032 Registration ID:207035 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): Page No: 210 - 221 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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