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

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 341-342)

Edited by:

Liu Guiping

Pages:

811-815

DOI:

10.4028/www.scientific.net/AMR.341-342.811

Citation:

A. Seshadri et al., "Development of a Pattern Recognition System Based on Image Processing Implemented on a Safety Critical Embedded System for Accident Prevention", Advanced Materials Research, Vols. 341-342, pp. 811-815, 2012

Online since:

September 2011

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Price:

$35.00

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