Drowsiness Detection and Vehicular Safety System for Monitoring the Loss of Attention in Locomotive Drivers
Autor: | Akshay Kumar A, Chethan M S, Hanamantha R Karikal, Jayanth A, Nithyashree. S |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: | |
DOI: | 10.5281/zenodo.3340424 |
Popis: | In a creating country like India, with progression in the transportation innovation and ascend in the complete number of vehicles, street mishaps increments are often. The fundamental driver behind these street mishaps are the absence of preparing establishments, untalented drivers, poor street conditions, utilization of PDAs amid driving, expending liquor while driving, over-burdening and poor administrative plans in such manner. The proposed work is to alarm the driver when he is lazy or diverted far from typical ready mode to non-ready mode by methods for ringer or vibration instrument. In this task, constant information is gathered by camcorder and other miniaturized scale electro mechanical framework gadgets (MEMS). This information gives data about driving state of the driver which goes about as contribution to controller. The suitable measures are taken by the controller to alarm the driver. {"references":["L. Jia, D. Zhao, K. Zheng, Z. Li, G. Sun, F. Zhang (2016), \"Smartphone-based fatigue detection system using the progressive locating method\", IET Intell. Transp. Syst,Volume 10, Issue 3, pp. 148–156","J. S. Jayasenan, P. S. Smitha (2014), \"Driver Drowsiness Detection System\", Volume 4, Issue 1, pp. 34–37","V. Triyanti, H. Iridiastadi (2017), \"Challenges in detecting drowsiness based on driver's behavior\", IOP Conf. Ser. Mater. Sci. Eng,Volume 277","F. Omidi, G. N. Saraji (2016), \"Non-intrusive Methods used to Determine the Driver Drowsiness : Narrative Review Articles\", pp. 186–191","P. P. Bhatt GHPatel PG, J. A. Trivedi Patel PG (2017), \"Various Methods for driver drowsiness detection : An Overview\", Int. J. Comput. Sci. Eng,Volume 9, Issue 3, pp. 70–74"]} |
Databáze: | OpenAIRE |
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