Driver Alertness Ensuring System

Conference: McGraw-Hill International Conference on Signal, Image Processing Communication and Automation
Author(s): U B MahadevaSwamy, AnilManjunath Hegde, Kartik Shet, Pavan P S, Lanchana K Year: 2017
Grenze ID: 02.MH-ICSIPCA.2017.1.19 Page: 121-129

Abstract

About 10-20% of all world traffic accidents are due to the diminished level of attention of the driver. Drowsiness\nof driver is now identified as one of the key reasons behind fatal crashes caused by the drivers. Thus a drowsiness detection\ntechnique is discussed in this paper. This uses various images of the driver to detect drowsiness by monitoring the driver’s\neyes and yawning pattern. This paper also discusses the use of IOT techniques to send the location of the drowsy driver to the\nconcerned authorities, who will approach the driver along with some help, if required. Thus a potential threat on the road is\ntaken care off.

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MH-ICSIPCA - 2017