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International Journal of Scientific and Research Publications

IJSRP, Volume 13, Issue 4, April 2023 Edition [ISSN 2250-3153]


Developing an Image Processing Based Real-Time Driver Drowsiness Detection System
      Mohammad Liton Hossain, Md. Shamim Hasan, Kazi Md. Abid, Safwan Ahmed
Abstract: Road accidents in Bangladesh and all over the world have been a major problem for a very long time. Thousands lost their lives and millions of people lose a livelihood annually because of road accidents. Fatigue, which causes drowsiness among other factors, is a key contributor to road accidents; this study aimed at making use of the available technologies to detect drowsiness among drivers at an early stage in order to prevent or reduce the impact associated with accident, this is achieved by warning the driver of his or her state when driving. Agile development is adopted in the development of the final product that targeted embedded devices. The final product registered good system performance with up to 85% drowsy cases detected by the system. This system can detect drowsiness and it can output audio feedbacks as warning. This is a prototype and which can be used in any kind of vehicle. High level programming and developed advanced technologies has been used to build this real time detection system.

Reference this Research Paper (copy & paste below code):
Mohammad Liton Hossain, Md. Shamim Hasan, Kazi Md. Abid, Safwan Ahmed (2023); Developing an Image Processing Based Real-Time Driver Drowsiness Detection System; International Journal of Scientific and Research Publications (IJSRP) 13(04) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.13.04.2023.p13622

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