X-ray security check system and method based on convolutional neural network

A convolutional neural network and security inspection technology, applied in the field of X-ray security inspection systems based on convolutional neural networks, can solve problems such as the decline in detection accuracy, achieve the effects of reducing hardware costs, improving safety factors, and saving labor costs

Active Publication Date: 2020-05-08
SOUTH CHINA UNIV OF TECH
View PDF5 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art, and provide an X-ray security inspection system based on a convolutional neural network, which applies an object detection algorithm to the input image to calibrate the position of suspicious dangerous goods and judge the category of dangerous goods. Due to the problem of decreased detection accuracy caused by overlapping objects, this system does not need to undergo shape and color detection separately during the detection process, and uses a lightweight and efficient convolutional neural network to ensure real-time detection of dangerous goods. Practical functions that are helpful to actual security inspection scenarios, such as data analysis functions for dangerous goods detection, incremental training functions, and remote monitoring

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • X-ray security check system and method based on convolutional neural network
  • X-ray security check system and method based on convolutional neural network
  • X-ray security check system and method based on convolutional neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0063] An X-ray security inspection system based on convolutional neural network (hereinafter referred to as "security inspection system"), its purpose is to solve the problems of misjudgment and missed detection that may occur in manual identification of dangerous goods in X-ray images, while ensuring detection efficiency , reduce the manual ratio of security inspection equipment, and improve the economic benefits of security inspection equipment, such as figure 1 As shown, it includes an X-ray security inspection module, an image acquisition module, a back-end server, and a display module connected in sequence; it also includes an object transmission module, which is used to transmit objects to be tested;

[0064] Wherein, the X-ray security inspection module is used to obtain the X-ray image of the article, and transmit the X-ray image to the image acquisition module; the coupling between the X-ray security inspection module and the other three modules is low, and the existi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an X-ray security check system based on a convolutional neural network. The X-ray security check system comprises an X-ray security check module, an image acquisition module, aback-end server and a display module which are connected in sequence; the X-ray security check module is used for acquiring an X-ray image of an object and transmitting the X-ray image to the image acquisition module; the image acquisition module is used for acquiring an X-ray image of an object to be detected from an image output interface of the X-ray security check module, converting the X-rayimage into a data format accepted by the security check system, and transmitting the X-ray image in the data format to the back-end server; the back-end server is used for carrying out hazardous article detection on the X-ray image to obtain a detection result and transmitting the detection result to the display module; the display module is used for man-machine interaction, displaying a detection result and giving an alarm prompt to the detected dangerous goods; according to the method, the requirements for real-time performance and accuracy of the security check process are fully considered, and the system and method have a wide application prospect.

Description

technical field [0001] The invention relates to the field of security inspection and prevention, in particular to an X-ray security inspection system and method based on a convolutional neural network. Background technique [0002] X-ray security inspection machine is currently the most widely used security inspection prevention and control facility, often used in subway stations, railway stations, airports, government office buildings, exhibition centers and other places. The X-ray security inspection machine is suitable for non-invasive screening of objects to be inspected, and its main part is an X-ray generator, which is used to perform X-ray imaging on the object to be inspected when it enters the tunnel of the security inspection machine. The color of the image of the X-ray security inspection machine depends on the material of the object to be inspected. Generally, organic materials (such as paper, clothes and most explosives) are displayed in orange, and mixed materi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06F16/2458G06F16/248G06Q50/26
CPCG06F16/2462G06F16/248G06Q50/265G06V20/00G06V10/95G06V2201/05G06V2201/07G06F18/24G06F18/214
Inventor 刘立钊曹隽逸刘飞连梓豪陈锐铭李毓彪席靖宋恒杰
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products