Paper
11 September 2013 Liquid dangerous goods detection based on electronic nose odor recognition technology
Author Affiliations +
Proceedings Volume 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications; 890721 (2013) https://doi.org/10.1117/12.2032891
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lina Sun "Liquid dangerous goods detection based on electronic nose odor recognition technology", Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 890721 (11 September 2013); https://doi.org/10.1117/12.2032891
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Cited by 1 scholarly publication.
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KEYWORDS
Neural networks

Nose

Liquids

X-rays

Network security

Computer security

Computing systems

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