Detection of driver’s fatigue

Sneha  Chinathambi; Shivani.C.Jadhav; Snehal Sarwade; Kranti Kamble

Detection of driver’s fatigue

Authors: Sneha Chinathambi, Shivani.C.Jadhav, Snehal Sarwade, Kranti Kamble

Unique Paper ID: 149745
Volume: 7
Issue: 1
PageNo: 648-651

Keywords: EAR Euclidean Distance Haar Cascade PERCLOS Alcohol

Abstract:
A number of approaches have been developed to reduce the risks of drowsy drivers. Almost all the statistics have identified driver drowsiness as a high priority vehicle safety issue. In our project we are using behavior- based approach mechanism for detecting driverâ€™s fatigue. We are predicting fatigue or drowsiness by calculating Euclidean distance of eye and the Eye Aspect Ratio. There is an increased interest with respect to the design and advancement of computer controlled automotive applications to overcome those problems by enhancing safety to reduce accidents, increase traffic flow, and enhance comfort for drivers. Additionally, a number of technical aspects should be seriously considered, including correctly capturing face and eye characteristics from unwanted movements, unsuitable task environments, technological limitations, and individual differences.

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ISSN: 2349-6002
Volume: 7
Issue: 1
PageNo: 648-651

Detection of driver’s fatigue

Available:https://ijirt.org/Article?manuscript=149745

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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