China Communication Technology Co., Ltd.

Shenzhen Cct Thz Technology Co., Ltd.

Shenzhen Institute of Terahertz Technology and Innovation

Shenzhen Victooth Terahertz Technology Co., Ltd.

China Communicatton Technology Co. Ltd.

Yanli Liu

Chunchao Qi

Shukai Zhao

Guangsheng Wu

Qing Ding

Hanjiang Chen

Chengyan Jia

Xiongwei Huang

Juncheng Liu

Yandong Zhang

Beibei Liu

Rong Wang

Aixian Wang

Zhihui Feng

Xiaoxiang Hou

A GPU-based human body microwave echo simulation method includes: transmitting emulation input parameters from the memory of a CPU host into the display memory of a GPU device; configuring, at the CPU host, parallel computing network parameters to be run at the GPU device; initiating a kernel function for human body microwave echo simulation preset in the CPU host; computing the kernel function in parallel, in a plurality of processing kernels of the GPU device, in a multi-threaded manner, according to the parallel computing network parameters, to obtain simulation echoes of human body microwaves; transmitting the obtained simulation echoes of human body microwaves from the GPU device back to the CPU host. The method makes full use of the characteristic that a GPU can perform parallel computing to accelerate the echo simulation process, greatly improving the real-time performance of echo simulation of a human body microwave scanning and imaging system.

GPU-based human body microwave echo simulation method and system

A portable security inspection device based on millimetre wave imaging comprising a hand-held body, wherein the hand-held body is provided with a millimetre-wave transmitting circuit for generating a millimetre-wave transmitting signal, a millimetre-wave array antenna for transmitting the millimetre-wave transmitting signal to a detected object and for receiving an echo signal reflected by the detected object, and a millimetre-wave receiving circuit for processing the echo signal and converting the echo signal into image data of the detected object.

Portable security inspection device based on millimetre wave imaging

This invention provides millimeter wave holographic 3D imaging detection system, which comprises: a transmitting antenna configured to transmit a millimeter wave transmitting signal to an object to be detected; a receiving antenna configured to receive an echo signal from the object to be detected; a millimeter wave transceiving module configured to generate the millimeter wave transmitting signal transmitted to the object to be detected and receive and process the echo signal from the receiving antenna; a scanning device configured to support the millimeter wave transceiving module, the transmitting antenna and the receiving antenna, and move the millimeter transceiving module, the transmitting antenna and the receiving antenna along a preset track, so as to scan the object to be detected with millimeter waves; a data gathering and processing module configured to gather and process the echo signal output from the millimeter wave transceiving module to generate a 3D image of the object to be detected; and an image display unit configured to display the 3D image generated by the data gathering and processing module. Besides, this invention also provides a method of millimeter wave holographic 3D imaging detection on an object to be detected using the above system thereof. The technical solution of this invention has the advantages of simple structure, high resolution, short imaging time, and larger field of view.

Millimeter wave holographic three-dimensional imaging detection system and method

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 a normalized region sub-image; performing feature information extraction on the normalized region sub-image to obtain feature information about the normalized region sub-image; 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 gender automatic recognition method and apparatus

This invention provides a security check apparatus for multiple human bodies based on linear frequency modulation, which comprises a scanning device, a millimeter wave signal transceiver module, and an image processing unit. The scanning device comprises several detection seats and several guideways and motors arranged on the detection seats; the detection seats are configured to accommodate persons to be security checked; a set of the millimeter wave signal transceiver modules are arranged on each guideway, and each millimeter wave signal transceiver module is driven by the motor to move along the guideway; the several detection seats are arranged in longitudinal direction. The millimeter wave signal transceiver modules are configured to transmit millimeter wave signals to the persons to be security checked and receive millimeter wave signals reflected from the persons to be security checked. The image processing unit is configured to perform holographic 3D imaging on the human bodies of the persons to be security checked based on the reflected millimeter wave signals to obtain 3D images of the human bodies. This invention also provides a security check method for multiple human bodies based on linear frequency modulation. This invention has the advantages of low cost, simple structure, easy integration, high resolution, more persons are detected per unit time, and no radiation hazard to human bodies.

Apparatus and method for security check of multiple human bodies based on linear frequency modulation

The present disclosure relates to a method and device for detecting concealed dangerous objects in microwave images. The method includes: simultaneously processes multiple adjacent microwave images, obtains edge images of a single image by using two methods for each image, obtains dangerous-object edges of the single image by edge fitting operation, obtains a rough dangerous-object contour by performing a registration operation and a second edge fitting operation on the dangerous-object edges of the multiple images, and performs a regional-binarization operation and a filtering on the rough dangerous-object contour to obtain a second dangerous-object area. The present disclosure has high detection accuracy and calculation efficiency.

Method and device for detecting concealed objects in microwave images

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Shenzhen, China

Yanli Liu