An auxiliary intelligent identification system for contraband of x-ray machine

Demao Ye; Zhiyuan Li; Yuhui Wang; Shiheng Yan

doi:10.1117/12.2579877

5 November 2020 An auxiliary intelligent identification system for contraband of x-ray machine

Demao Ye, Zhiyuan Li, Yuhui Wang, Shiheng Yan

Proceedings Volume 11565, AOPC 2020: Display Technology; Photonic MEMS, THz MEMS, and Metamaterials; and AI in Optics and Photonics; 115650Y (2020) https://doi.org/10.1117/12.2579877
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China

Abstract

In the international environment of violence, terrorist attacks and illegal drug smuggling, security issues are particularly important. Many companies and institutions in the world have successively developed safety inspection equipment, among which x-ray safety inspection equipment has been widely used. In order to ensure the safety of passengers, it is necessary to be able to accurately identify the knives, guns, inflammables, explosives and other dangerous articles in the luggage package during the security check, so as to reduce the probability of danger. At present, airport security inspectors need to change for half an hour, which is hard to work and easy to miss. An assistant identification system of contraband based on yolov4 to assist the security inspector to judge the X-ray image was proposed to improve the efficiency and accuracy of security inspection identification, reduce the manual detection intervention of professional training personnel, and avoid the occurrence of missed detection and false detection. A novel data augmentation method is proposed to guarantee the performance of the system in the case of a small number of samples. The experimental results show that the system has strong robustness in different channel directions and complex scenes, the comprehensive detection rate of lighter is higher than 95%, and the recognition efficiency and accuracy are greatly improved compared with the traditional convolutional neural network(CNN).

Citation Download Citation

Demao Ye, Zhiyuan Li, Yuhui Wang, and Shiheng Yan "An auxiliary intelligent identification system for contraband of x-ray machine", Proc. SPIE 11565, AOPC 2020: Display Technology; Photonic MEMS, THz MEMS, and Metamaterials; and AI in Optics and Photonics, 115650Y (5 November 2020); https://doi.org/10.1117/12.2579877

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KEYWORDS

Inspection

X-rays

Image enhancement

Image restoration

Intelligence systems

X-ray imaging

Safety

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