Fast Human Body Scan for Security Inspection Based on Multi-Mode Vortex Electromagnetic Wave

The current security inspection technology is mostly composed of imaging and recognition steps, in which high-pixel imaging corresponds to high accuracy but high computational burden. In this paper, we propose a fast end-to-end method to connect the original data to security check results directly, where the two-dimensional fast beamforming is achieved by a one-dimensional mode scanning of the vortex electromagnetic wave. Vortex electromagnetic wave achieves a helical wavefront through phase modulation related to azimuth Angle, which can cover two-dimensional space through one-dimensional scanning, and different modal vortex echoes contain information of different parts of the human body, but modal dimension signals do not have a clear corresponding relationship with the scene like the image. So the rapid detection of human body is realized by the combination of multi-modal vortex wave and feed-forward neural network. Through the training and simulation of the network, the feasibility of the proposed system and method is proved, and the high recognition rate can be obtained with very little computation.