Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Image pre-classification method of airport security inspection contraband automatic identification system

An automatic identification system and contraband technology, applied in character and pattern recognition, computer parts, instruments, etc., can solve problems such as high work intensity

Active Publication Date: 2020-10-30
713 RES INST OF CHINA SHIPBUILDING IND CORP +1
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, the X-ray machine at the airport is still in the traditional monitoring stage of the map judge. In the traditional mode, the map judge needs to keep an eye on and monitor the video screen of the X-ray machine with high intensity, and the work intensity is very high.
Although map judges generally "shift half an hour", with the continuous emergence of new types of dangerous goods, which far exceed the limit of human beings, it poses a severe challenge to manual map judgment methods relying on memory and experience. Misjudgments or even missed judgments are often the case. occur

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
  • Image pre-classification method of airport security inspection contraband automatic identification system
  • Image pre-classification method of airport security inspection contraband automatic identification system
  • Image pre-classification method of airport security inspection contraband automatic identification system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] The technical solutions in the embodiments of the present application are clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Apparently, the described embodiments are only some of the embodiments of the present application, not all of them. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments in this application belong to the protection scope of this application.

[0022] It should be pointed out that the following detailed description is exemplary and is intended to provide further explanation to the present application. Unless otherwise specified, all technical and scientific terms used herein have the same technical meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0023] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to ...

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 provides an image pre-classification method of an airport security inspection contraband automatic identification system. The method comprises the following steps: S1; acquiring front illumination and side illumination of an X-ray machine image; finishing RGB and HSI conversion of an input image through side illumination and front illumination, using color segmentation to judge whether a black area exists in the image or not through a black threshold value Vth, and when the area is larger than 3 * 3 pixel the front illumination and the side illumination both have unknown areas, an alarm can be given to remind security personnel of unpacking inspection; S2, filtering and denoising the frontal images and the side images processed in the step S1, and extracting HOG features andLBP features; s3, constructing a comprehensive feature vector X (HOG _ V, LBP _ V, HOG _ S and LBP _ S) in a serial cascade mode; and S4, pre-classifying the comprehensive feature vectors X (HOG _ V,LBP _ V, HOG _ S and LBP _ S) of the frontal illumination and the side illumination of the prohibited goods by adopting an SVM (Support Vector Machine) classifier, and immediately sending true to an alarm to trigger alarming when the prohibited goods exist. According to the invention, the front-illuminated X-ray image and the side-illuminated X-ray image are fused, the combined feature vector is constructed, coarse classification of prohibited goods is achieved, and the overall robustness and real-time performance of the classification algorithm are improved.

Description

technical field [0001] The invention relates to the field of airport security inspection, in particular to an image pre-classification method for an auxiliary recognition system for contraband in airport security inspection luggage. Background technique [0002] With the development of my country's economy, the civil aviation industry has entered the fast lane of development, and the construction of airports as supporting facilities for the civil aviation industry has also entered a stage of rapid development. Especially in recent years, the passenger throughput of the airport has increased year by year, and the security pressure demand of the airport security inspection system has increased year by year. Whether it can effectively protect the flight safety of aircraft and comprehensively improve the safety precautions of the airport has become an urgent problem to be solved. As a transportation hub, the airport has a large flow of people, and the level of security protecti...

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): G06K9/62G06K9/40G06K9/46
CPCG06V10/30G06V10/56G06V10/50G06F18/2411
Inventor 叶德茂李志远王宇慧赵斌颜世恒马锦山
Owner 713 RES INST OF CHINA SHIPBUILDING IND CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products