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Development of a Pattern Recognition System Based on Image Processing Implemented on a Safety Critical Embedded System for Accident Prevention

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Abstract:

Irresponsible driving is one of the leading causes of mishaps & deaths in the world today. The present work aims at developing a preventive solution to this problem in the form of a driving aid for drunk drivers or people who are not in a fit state to drive. The said system proposes to enhance certain existing frameworks using image processing. Haar-wavelet classifiers & Speeded Up Robust Features (SURF) algorithm are used to analyze images of the drivers' eyes & patterns of movement to judge if they are eligible to drive. These complement the existing sensors, like the odor sensor, and help the system reach a confident decision. We plan to take this system further by creating collaborative MANETs among vehicles for preventing potential harm to other drivers as well.

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Periodical:

Advanced Materials Research (Volumes 341-342)

Pages:

811-815

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.341-342.811

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Online since:

September 2011

Authors:

Aadil Seshadri, Abhinav Gupta, Nishad Kamdar, Varad Gunjal

Keywords:

Haar Wavelets, Pattern Recognition, Safety Critical Embedded System, SURF

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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