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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: | DETECTION SYSTEM FOR DRIVER DROWSINESS |
| Authors Name: | MOKKAPATI SAI SANJAY , TIRUMALASETTI PAVAN SAI , ACHAM SUKUMAR |
| Unique Id: | IJSDR2304069 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | Abstract - We suggest reducing the number of accidents brought on by driver fatigue and enhancing road success in the process. The modified disclosure of driver sluggishness is addressed in this structure susceptible to visual information as well as artificial awareness. For the purpose of using Softmax to quantify PERCLOS (level of eye end), we find, follow, and investigate the driver's face and eyes. The same way, alcohol and beat acknowledgment are used to determine whether a person is normal or abnormal. Due to postponed driving periods and weakness in added circumstances, driver fatigue is one of the major causes of auto accidents, especially for drivers of large vehicles (like transports and powerful trucks. This approach can be interpreted as a low-cost, dependable means to reduce the number of accidents caused by drowsy driving and thereby enhance travel safety. |
| Keywords: | Raspberry Pi, Eye tracking, Driver, Image Processing |
| Cite Article: | "DETECTION SYSTEM FOR DRIVER DROWSINESS", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.366 - 370, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304069.pdf |
| Downloads: | 000337072 |
| Publication Details: | Published Paper ID: IJSDR2304069 Registration ID:204933 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 366 - 370 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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