Microwave security inspection system for automatically detecting dangerous object hidden in human body

Abstract

The invention relates to a microwave security inspection system for automatically detecting a dangerous object hidden in a human body. The microwave security inspection system includes a microwave emitting and receiving device, a data acquisition device, an imaging treatment device and a device for automatically detecting the dangerous object hidden in a human body, wherein the microwave emitting and receiving device, the data acquisition device, the imaging treatment device and the device for automatically detecting the dangerous object hidden in the human body can be connected sequentially. The system has very high detection accuracy, meets the use requirement, and solves the problem of automatically detecting the dangerous object hidden in the human body during the security inspection process.

Description

technical field [0001] The invention relates to a security inspection system, in particular to a microwave security inspection system for automatically detecting hidden dangerous objects in a human body, and belongs to the technical field of image processing and security inspection. Background technique [0002] Microwaves have certain penetration in the process of propagation. Through microwave imaging technology, it is possible to obtain imaging result images of the scanned human body that are not affected by clothing, etc.; and then automatically complete the detection of dangerous objects hidden under the detected person's clothing based on the microwave results, such as metal knives, unknown liquids, sharp objects, etc. Objects, etc., is a fast, safe and effective security technology means. If in the detection process, the detection of suspicious and dangerous objects is completed directly through the naked eye observation of the security inspection operator, it will t...

AI Technical Summary

Problems solved by technology

However, in the application of the applicant's microwave security inspection system for automatic detection of hidden dangerous objects, the above method is not applicable. The main reasons are as follows: 1) The imaging mechanism of microwave images and visible light images is essentially different, and the gray level of microwave images is low and the definition is low. , and is affected by coherent speckle noise

Object detection methods in visible light images cannot be directly applied in microwave images; 2) There are many forms of hidden dangerous objects involved in this application, and grayscale is only one of the possible detection features. Therefore, based on grayscale The CFAR method of detecting features cannot meet the needs of automatic detection of dangerous objects in microwave security inspection systems

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