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Proceedings Paper

Liquid dangerous goods detection based on electronic nose odor recognition technology
Author(s): Lina Sun
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Paper Abstract

X-ray security device cannot detect accurately for some volatile of toxic harmful or flammable easy explosion products, this article takes electronic noses as secondary detection means of x-ray security equipment embedded in the x-ray security equipment. Using different mode recognition methods process experimental data, focus research on neural network mode recognition method, last established effective BP network model, identification accurate rate is 100% for gas species. Take the X-ray detection technology and electronic nose odor recognition technology combination to achieve the integration of multi-testing information, provide effective methods and theoretical basis for research and development of new security equipment, and realize the integration of a variety of information technology and multi-stage checking.

Paper Details

Date Published: 11 September 2013
PDF: 8 pages
Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 890721 (11 September 2013); doi: 10.1117/12.2032891
Show Author Affiliations
Lina Sun, Northeastern Univ. (China)


Published in SPIE Proceedings Vol. 8907:
International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications
Haimei Gong; Zelin Shi; Qian Chen; Jin Lu, Editor(s)

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