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

  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, A. Gupta, N. Kamdar, V. Gunjal, "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
$32.00
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