An Automotive Airbag Detection Method Based on Image Processing

Abstract:

The development of the automobile industry led to the development of auto parts, and airbags are one of the most important safety components of cars. In this paper, to meet the shortfall of traditional way of using a dial indicator to detect airbags deficiencies, a new automotive airbag shape detection methods based on image processing technology is put forward. First, extract the airbags image edge information using the method of boundary tracking, then detect whether airbags are qualified according to the similarity of image invariant moment. Experiments confirmed this method can improve the range and accuracy of the airbag detection.

• Periodical: Applied Mechanics and Materials (Volumes 416-417)
• Pages: 1350-1354
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.416-417.1350
• Online since: September 2013
• Authors: Xiang Xin Shao, Mu Jun Xie
• Keywords: Automotive Airbags Image, Boundary Tracking, Invariant Moments Matching

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