Abstract
It is rightly said that you do not know it until you have experienced it. The vehicles on roads have increased a lot and so has the number of accidents. A major reason among many is drowsiness or feeling the need for sleep. Although there have been many attempts to design and implement a viable solution for this problem in the form of software, or product, every project has its ups and downs. Here, two of the most promising solutions have been implemented and compared which detect if a person is slee** or about to sleep while driving. This research is aimed at comparing two approaches to detect the state of a driver and alarm him/her if they are in an impaired state; these are built using multiple technologies instead of only one, hence increasing the efficiency to detect more accurate outputs.
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Yadav, D., Mohan, D., Jyoti, A. (2021). Comparison of Computer Vision Techniques for Drowsiness Detection While Driving. In: Jeena Jacob, I., Kolandapalayam Shanmugam, S., Piramuthu, S., Falkowski-Gilski, P. (eds) Data Intelligence and Cognitive Informatics. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-8530-2_51
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DOI: https://doi.org/10.1007/978-981-15-8530-2_51
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