International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

HAIRIO

Author : Subathra Srinivas ¹ Sanjana .J ² Sujithra Srinivas ³

Date of Publication :7th August 2016

Abstract: Accidents are very common in big cities as there are many modes of transport and roads are congested and overcrowded. . Accidents often result in tragic loss of life and material. A large no of accidents are caused by the carelessness of the drivers and their ignorance and negligence of the traffic rules. Drowsiness is one key factor for road accidents. Researchers are being done to detect drowsiness and many techniques have been introduced .In this paper, the authors analyze the issue of drowsiness, propose a method to detect drowsiness and elaborate on its advantages and limitations. The approach is based on a combination of Physiological and Vision based measures We conclude that by combining a unique non-intrusive physiological measures with other measures help accurately determine the drowsiness level of a driver. This contributes positively towards preventing accidents by alerting the driver.

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