Actual Moment Driver Lethargy Experience Based on Driver’s Face Picture with the SRS System

Stephen, Raj.S and Sripriya, P (2019) Actual Moment Driver Lethargy Experience Based on Driver’s Face Picture with the SRS System. In: 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), Faridabad, India.

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Abstract

Drivers have to stay a secure look at on the path, hence they can respond to rapid measures directly. Driver tiredness regularly becomes a nonstop basis of several travel accidents. Consequently, present is a require to expand the systems so as to determination notice and inform a driver of she/he awful psychophysical state, which might considerably decrease the figure of fatigue-related vehicle accidents. Though, the growth of such systems encounter a lot of difficulty linked to speedy and correct gratitude of a driver's exhaustion symptom. This critique presents the at present worn driver sleepiness detection systems. the author have deliberate the option to notice the sleepy or attentive condition of the driver base on the imagery in use throughout heavy and by analyze the state of the driver's eye open, half-opened and stopped up. Used for this reason two kinds of false neural network were working a one concealed layer system and an auto encoder set of connections.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Applications > Business Management
Divisions: Computer Applications
Depositing User: Mr IR Admin
Date Deposited: 12 Oct 2024 10:07
Last Modified: 12 Oct 2024 10:07
URI: https://ir.vistas.ac.in/id/eprint/9792

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