A NEW INTELLIGENT DRIVER VIGILANCE SYSTEM DESIGN USING TILT SENSORS
A significant number of causes for people killed by automobile accidents on both public and interior roads are the driver's failure to pay attention to the roadway, as well as other factors such as tiredness, sleep during driving, using the phone, or even the driver being intoxicated, etc. This...
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| Format: | Article |
| Language: | English |
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Faculty of Engineering, University of Kufa
2025-02-01
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| Series: | Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ |
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| Online Access: | https://journal.uokufa.edu.iq/index.php/kje/article/view/15506 |
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| author | Ali Zuhair Ghazi Zahid Karrar Shakir Muttair Oras Ahmed Shareef Abbas Ali Diwan Hazeem Baqir Taher Raed Hameed Chyad Alfilh Ahmed Mahmood Farhan Mahmood Farhan Mosleh Faiz Arith |
| author_facet | Ali Zuhair Ghazi Zahid Karrar Shakir Muttair Oras Ahmed Shareef Abbas Ali Diwan Hazeem Baqir Taher Raed Hameed Chyad Alfilh Ahmed Mahmood Farhan Mahmood Farhan Mosleh Faiz Arith |
| author_sort | Ali Zuhair Ghazi Zahid |
| collection | DOAJ |
| description | A significant number of causes for people killed by automobile accidents on both public and interior roads are the driver's failure to pay attention to the roadway, as well as other factors such as tiredness, sleep during driving, using the phone, or even the driver being intoxicated, etc. This work aims to identify sleepy status, pinpoint the onset of sleep, and alert the driver when their level of alertness drops below a level that does not improve productivity or the vehicle's overall safety protocols to prevent drowsiness-related crashes. In this article, we present a new method for implementing drowsiness detection inexpensively, using a Raspberry Pi as a central processor board that connects all practical measurement components. In addition, the proposed method includes the following activities: tracking the driver's head vibration while driving using tilt sensors. Moreover, a camera was mounted in front of the driver to take photos and record videos of the driver's health. As a result, the results were entirely satisfactory, and if the driver was operating the vehicle while fatigued, the response was 95% reliable and fast.
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| format | Article |
| id | doaj-art-d889645495724c81a759a48934758efa |
| institution | Kabale University |
| issn | 2071-5528 2523-0018 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Faculty of Engineering, University of Kufa |
| record_format | Article |
| series | Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ |
| spelling | doaj-art-d889645495724c81a759a48934758efa2025-02-06T06:16:00ZengFaculty of Engineering, University of KufaMağallaẗ Al-kūfaẗ Al-handasiyyaẗ2071-55282523-00182025-02-011601264210.30572/2018/KJE/160103A NEW INTELLIGENT DRIVER VIGILANCE SYSTEM DESIGN USING TILT SENSORSAli Zuhair Ghazi Zahid0Karrar Shakir Muttair1Oras Ahmed Shareef2Abbas Ali Diwan3Hazeem Baqir Taher4Raed Hameed Chyad Alfilh5Ahmed Mahmood Farhan6Mahmood Farhan Mosleh7Faiz Arith8Nanotechnology and Advanced Materials Research Unit, Faculty of Engineering, University of Kufa, Najaf, IraqNanotechnology and Advanced Materials Research Unit, Faculty of Engineering, University of Kufa, Najaf, IraqDepartment of Computer Engineering Techniques, Electrical Engineering Technical College, Middle Technical University, Baghdad, IraqNanotechnology and Advanced Materials Research Unit, Faculty of Engineering, University of Kufa, Najaf, IraqDepartment of Computer Science, College of Education for Pure Sciences, Thi-Qar University, Thi-Qar, IraqDepartment of Refrigeration and Air Conditioning Techniques Engineering, College of Technical Engineering, The Islamic University, Najaf, IraqDepartment of Medical Instrumentation Engineering, Engineering Technical College, Al-bayan University, Baghdad, IraqDepartment of Computer Engineering Techniques, Electrical Engineering Technical College, Middle Technical University, Baghdad, IraqFaculty of Electronics and Computer Technology and Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal, MalaysiaA significant number of causes for people killed by automobile accidents on both public and interior roads are the driver's failure to pay attention to the roadway, as well as other factors such as tiredness, sleep during driving, using the phone, or even the driver being intoxicated, etc. This work aims to identify sleepy status, pinpoint the onset of sleep, and alert the driver when their level of alertness drops below a level that does not improve productivity or the vehicle's overall safety protocols to prevent drowsiness-related crashes. In this article, we present a new method for implementing drowsiness detection inexpensively, using a Raspberry Pi as a central processor board that connects all practical measurement components. In addition, the proposed method includes the following activities: tracking the driver's head vibration while driving using tilt sensors. Moreover, a camera was mounted in front of the driver to take photos and record videos of the driver's health. As a result, the results were entirely satisfactory, and if the driver was operating the vehicle while fatigued, the response was 95% reliable and fast. https://journal.uokufa.edu.iq/index.php/kje/article/view/15506raspberry pitilt sensortilt detection techniquesnhtsausb web cameramini piezo buzzersd cardangles tilt algorithmsdriver vigilance system |
| spellingShingle | Ali Zuhair Ghazi Zahid Karrar Shakir Muttair Oras Ahmed Shareef Abbas Ali Diwan Hazeem Baqir Taher Raed Hameed Chyad Alfilh Ahmed Mahmood Farhan Mahmood Farhan Mosleh Faiz Arith A NEW INTELLIGENT DRIVER VIGILANCE SYSTEM DESIGN USING TILT SENSORS Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ raspberry pi tilt sensor tilt detection techniques nhtsa usb web camera mini piezo buzzer sd card angles tilt algorithms driver vigilance system |
| title | A NEW INTELLIGENT DRIVER VIGILANCE SYSTEM DESIGN USING TILT SENSORS |
| title_full | A NEW INTELLIGENT DRIVER VIGILANCE SYSTEM DESIGN USING TILT SENSORS |
| title_fullStr | A NEW INTELLIGENT DRIVER VIGILANCE SYSTEM DESIGN USING TILT SENSORS |
| title_full_unstemmed | A NEW INTELLIGENT DRIVER VIGILANCE SYSTEM DESIGN USING TILT SENSORS |
| title_short | A NEW INTELLIGENT DRIVER VIGILANCE SYSTEM DESIGN USING TILT SENSORS |
| title_sort | new intelligent driver vigilance system design using tilt sensors |
| topic | raspberry pi tilt sensor tilt detection techniques nhtsa usb web camera mini piezo buzzer sd card angles tilt algorithms driver vigilance system |
| url | https://journal.uokufa.edu.iq/index.php/kje/article/view/15506 |
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