Human-body foreign-matter detection method and system based on millimetre-wave image

    公开(公告)号:US10884116B2

    公开(公告)日:2021-01-05

    申请号:US16033246

    申请日:2018-07-12

    Abstract: A human-body foreign-matter detection method and system based on millimeter-wave image. The method comprises: obtaining a millimeter-wave grayscale image of a human body; extracting a human-body contour image in the millimeter-wave grayscale image; constructing a vertical space distribution histogram in a vertical direction and a horizontal space distribution histogram in a horizontal direction for the human-body contour image; obtaining positions of limbs of the human body according to the vertical space distribution histogram, the horizontal space distribution histogram and a pre-set human-body proportion model; identifying a foreign matter in the human-body contour image according to pre-set foreign-matter feature identification models; and marking a position of the foreign matter on the human-body contour image according to the positions of the limbs, and generating a foreign-matter detection result.

    HUMAN BODY GENDER AUTOMATIC RECOGNITION METHOD AND APPARATUS

    公开(公告)号:US20200042779A1

    公开(公告)日:2020-02-06

    申请号:US16321807

    申请日:2017-07-17

    Abstract: A human body gender automatic recognition method includes: acquiring a current millimeter wave grayscale image, and determining gender part region positions of a human body in the millimeter wave grayscale image according to a pre-set body proportion; extracting a region sub-image corresponding to the gender part region position; performing dimension normalization on the region sub-image to obtain the region sub-image after normalization; performing feature information extraction on the region sub-image after normalization to obtain feature information about the region sub-image after normalization; recognizing the millimeter wave grayscale image by means of each pre-set classifier, and respectively outputting results; and integrating the output results to obtain a classification recognition result of the millimeter wave grayscale image. The method has relatively high recognition rate and calculation efficiency, and solves the problem of a privacy protection and detection method in a millimeter wave security inspection system.

    HUMAN-BODY FOREIGN-MATTER DETECTION METHOD AND SYSTEM BASED ON MILLIMETRE-WAVE IMAGE

    公开(公告)号:US20180329053A1

    公开(公告)日:2018-11-15

    申请号:US16033246

    申请日:2018-07-12

    CPC classification number: G01S13/887 G01S7/41

    Abstract: A human-body foreign-matter detection method and system based on millimeter-wave image. The method comprises: obtaining a millimeter-wave grayscale image of a human body; extracting a human-body contour image in the millimeter-wave grayscale image; constructing a vertical space distribution histogram in a vertical direction and a horizontal space distribution histogram in a horizontal direction for the human-body contour image; obtaining positions of limbs of the human body according to the vertical space distribution histogram, the horizontal space distribution histogram and a pre-set human-body proportion model; identifying a foreign matter in the human-body contour image according to pre-set foreign-matter feature identification models; and marking a position of the foreign matter on the human-body contour image according to the positions of the limbs, and generating a foreign-matter detection result.

    Method and system using TR assembly to obtain intermediate-frequency controllable signal

    公开(公告)号:US11125855B2

    公开(公告)日:2021-09-21

    申请号:US16317459

    申请日:2017-07-05

    Abstract: A disclosed method includes: dividing an signal into a first signal and a second signal; performing frequency multiplication and amplification on the first signal to obtain an intermediate signal of corresponding power and frequency, and using the second signal as a local oscillation signal. The method further includes dividing the intermediate signal into a first intermediate signal and a second intermediate signal, and using the first intermediate signal as a reference signal; performing frequency mixing on the second intermediate signal and the local oscillation signal to obtain a mixed signal, which is a high-frequency millimeter wave signal; transmitting the mixed signal by a transmitting antenna; and performing frequency mixing on the signal received by a receiving antenna and the reference signal to obtain an intermediate-frequency controllable signal having a frequency consistent with that of the output signal of the signal source.

    Millimeter Wave Image Based Human Body Foreign Object Detection Method and System

    公开(公告)号:US20200333504A1

    公开(公告)日:2020-10-22

    申请号:US16336772

    申请日:2017-08-04

    Abstract: A millimeter wave image based human body foreign object detection method, comprising: acquiring a millimeter wave gray scale image of a human body; according to a pre-determined foreign object imaging characteristic, extracting from the millimeter wave gray scale image a foreign object area image; according to a pre-determined foreign object image recognition algorithm, performing calculations on the foreign object area image, and acquiring a foreign object image from the foreign object area image; displaying the foreign object image as a foreign object detection result. Also provided is a millimeter wave image based human body foreign object detection system.

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