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International Journal of Applied Research
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

IMPACT FACTOR (RJIF): 8.4

Vol. 4, Issue 10, Part F (2018)

Driver drowsiness detection system using image processing

Driver drowsiness detection system using image processing

Author(s)
Anand Singh and Manish KR Singh
Abstract
Driving a vehicle in a state of drowsiness is one of the problems that is increasing rapidly. People's lifestyles are the main reason behind this. Not getting proper sleep, eating an unhealthy diet, following an improper routine, experiencing work stress, etc. Drowsiness is not dangerous if a person is at home or even sitting in the back seat of a car, but if the person's brain is approaching this state, it may result in a disastrous accident. To deal with this problem, research and development are happening every second. In this paper, an image processing-based technique has been analysed to detect the state of drowsiness by analysing the facial behaviour and trigger an alarm to prevent any mishappening.
Pages: 494-498  |  123 Views  57 Downloads
How to cite this article:
Anand Singh, Manish KR Singh. Driver drowsiness detection system using image processing. Int J Appl Res 2018;4(10):494-498. DOI: 10.22271/allresearch.2018.v4.i10f.11461
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