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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 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | DRIVER FATIGUE DETECTION SYSTEM FOR ACCIDENT PREVENTION |
| Authors Name: | SAMUDRALA LOKESH , B .RAMA KRISHNA , P. AVINASH , L.PRASHANTH , Mrs.Sk.UMA MAHESWARI |
| Unique Id: | IJSDR2305108 |
| Published In: | Volume 8 Issue 5, May-2023 |
| Abstract: | Drunkenness or fatigue is the main purpose of car accidents, with critical implications for avenue protection. Many fatal crashes could have been prevented if worn-out drivers had been warned beforehand of time. A range of drowsiness detection technology can track signs of inattention whilst alerting and notifying the driver. Sensors within the auto-driving ears are presupposed to locate whether the driving force is asleep, indignant, or experiencing surprising changes in his feelings, consisting of anger. These sensors constantly reveal the driver's facial features and should come across facial contours to extract the kingdom of the driving force's facial expression and decide whether or not the motive force is appearing accurately. As soon as the gadget detects such modifications, it takes manage of the automobile, straight away slows down and stops with an audible signal to allow the driving force realize the scenario. The proposed machine may be incorporated with car electronics, monitoring automobile data and offering greater accurate results. In this text, we carried out actual-time photo segmentation and sleepiness the usage of system getting to know methodology. In the proposed work, help vector device (SVM) detection based on facial reputation method was applied. The set of rules has been tested under various brightness situations and outperforms present day studies in terms of accuracy. 83.25% were capable of discover a alternate in facial expression. |
| Keywords: | GUI programming ,Portable , phython |
| Cite Article: | "DRIVER FATIGUE DETECTION SYSTEM FOR ACCIDENT PREVENTION", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.720 - 726, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305108.pdf |
| Downloads: | 000222060 |
| Publication Details: | Published Paper ID: IJSDR2305108 Registration ID:206309 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: 720 - 726 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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