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

Method and apparatus of automatically recognizing objects based on artificial intelligence deep learning

A deep learning and automatic recognition technology, applied in the field of security inspection object recognition, can solve the problems of detection and recognition errors, low accuracy, etc., and achieve the effect of improving accuracy, reducing security inspection costs, and improving accuracy

Active Publication Date: 2018-11-13
北京迈格斯智能科技有限公司
View PDF1 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in this technical solution, although the deep learning model is used to realize the automatic detection and identification of contraband, but in this solution, the X-ray machine is only set at one angle, but in view of the different angles of the items placed, There is no difference in the images obtained at the same angle for different items. For example, for a knife, if it is placed on a plane, the image taken from above will look like a knife, and when the same knife is placed vertically, The image captured above is a straight line, which is basically the same as a stick, so using the technical solution disclosed in the above patent still has the risk of detection and recognition errors, and the accuracy rate is not high

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
  • Method and apparatus of automatically recognizing objects based on artificial intelligence deep learning
  • Method and apparatus of automatically recognizing objects based on artificial intelligence deep learning
  • Method and apparatus of automatically recognizing objects based on artificial intelligence deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.

[0039] It should be understood that terms such as "having", "comprising" and "including" used herein do not exclude the presence or addition of one or more other elements or combinations thereof.

[0040] Such as figure 1 with figure 2 As shown, the present invention provides a method for automatically recognizing objects based on artificial intelligence deep learning, which mainly includes the following steps:

[0041] Step 1. The X-ray images of the items to be identified are collected by X-ray machines arranged in different directions in the item identification area;

[0042] Step 2. Input the collected X-ray images in various directions into the preset deep learning model at the same time, so as to extract the multi-dimensional data of the corresponding items to be ide...

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 a method and apparatus of automatically recognizing objects based on artificial intelligence deep learning. The method of automatically recognizing objects based on artificialintelligence deep learning includes the steps: collecting X-ray images of objects to be recognized by X-ray machines disposed in different orientations of an objection recognition area; inputting thecollected X-ray images in various orientations into a preset deep learning model to extract multi-dimensional data of the corresponding objects to be identified in the X-ray images; fusing the multi-dimensional data to generate data features corresponding to the multi-dimensional data; respectively extracting the classification features and the position features from the data features; and calculating the confidence values of the classification features, and combining the classification features in which the confidence values are greater than the preset minimum value and the corresponding position features as the recognition result to output. The method and apparatus of automatically recognizing objects based on artificial intelligence deep learning utilize the cross-imaging and preset deep learning model to synthesize multi-dimensional images into a one-way composite image, thus greatly improving the recognition rate of contraband, avoiding missed detection, and realizing full automation of security inspection.

Description

technical field [0001] The invention relates to the technical field of security inspection object recognition, in particular to a method and device for automatically recognizing objects based on deep learning of artificial intelligence. Background technique [0002] Security inspection machine, also known as security inspection instrument, including security inspection X-ray machine, luggage inspection machine, channel X-ray machine, object inspection X-ray machine, X-ray security inspection instrument, X-ray luggage inspection machine, X-ray detector, X-ray foreign object detection Machines, X-ray security inspection machines, X-ray luggage detectors, Sanpin detectors, Sanpin inspection machines, Sanpin inspection devices, and dangerous inspection devices. [0003] Security inspection machines are widely used in airports, railway stations, bus stations, government buildings, embassies, conference centers, exhibition centers, hotels, shopping malls, large-scale events, post ...

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): G01V5/00G06N3/08
CPCG06N3/08G01V5/22
Inventor 张娜
Owner 北京迈格斯智能科技有限公司
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