Unlock instant, AI-driven research and patent intelligence for your innovation.

Identification recognition method, identification recognition model training method, device and electronic system

An identification method and identification technology, applied in the field of artificial intelligence, can solve problems such as low identification accuracy of identification, and achieve the effect of improving accuracy

Active Publication Date: 2019-12-03
MEGVII BEIJINGTECH CO LTD
View PDF11 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the implementation process of the above two identification methods, most of them use the features finally output by the feature extraction network to identify signs such as license plates. Due to the limited features used, the accuracy of identification is low.

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
  • Identification recognition method, identification recognition model training method, device and electronic system
  • Identification recognition method, identification recognition model training method, device and electronic system
  • Identification recognition method, identification recognition model training method, device and electronic system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] First, refer to figure 1 An example electronic system 100 for implementing the identification recognition method and its model training method, device and electronic system according to the embodiment of the present invention will be described.

[0037] Such as figure 1 A schematic structural diagram of an electronic system is shown, the electronic system 100 includes one or more processing devices 102, one or more storage devices 104, input devices 106, output devices 108 and one or more image acquisition devices 110, these components The interconnections are via bus system 112 and / or other forms of connection mechanisms (not shown). It should be noted that figure 1 The components and structures of the electronic system 100 shown are exemplary rather than limiting, and the electronic system may also have other components and structures as required.

[0038] The processing device 102 may be a gateway, or an intelligent terminal, or a device including a central proces...

Embodiment 2

[0045] This embodiment provides an identification identification method, which is executed by the processing device in the above-mentioned electronic system; the processing device may be any device or chip capable of data processing. The processing device can independently process the received information, or can be connected with a server to jointly analyze and process the information, and upload the processing results to the cloud.

[0046] The above-mentioned signs can be license plates, billboards, road signs, traffic signs, etc.; figure 2 As shown, the identification identification method includes the following steps:

[0047] Step S200, acquiring a picture to be recognized that includes a logo.

[0048] The above picture to be recognized may be a video frame collected by a vehicle-mounted device or a monitoring device, or may be a picture collected by other devices.

[0049] Step S202, extract multi-level initial feature maps of the picture to be recognized through a ...

Embodiment 3

[0062] The embodiment of the present invention also provides another logo recognition method, which is implemented on the basis of the methods in the above embodiments; the method focuses on describing that when the feature extraction network includes multiple convolutional layers, through the preset feature extraction network, The specific implementation process of extracting the multi-level initial feature map of the image to be recognized, and performing feature fusion processing on the initial feature map of the specified level in the multi-level initial feature map to obtain the specific implementation process of the fusion feature map, as shown in image 3 As shown, the method includes the following steps:

[0063] Step S300, acquiring a picture to be recognized that includes a logo.

[0064] Step S302, input the picture to be recognized into the multi-layer convolution layer, extract the initial feature map of the corresponding level of the picture to be recognized thro...

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 identifier identification method, an identification recognition model training method, a device and an electronic system. The method comprises the following steps: after obtaining a to-be-identified picture containing an identifier, extracting a multi-level initial feature map of the to-be-identified picture through a preset feature extraction network, and performing feature fusion processing on an initial feature map of a specified level in the multi-level initial feature map to obtain a fused feature map; extracting global features of the fused feature map; and finally, according to the fusion feature map and the global feature, identifying the identifier in the to-be-identified picture. According to the method, the multi-level features of the deep layer, the shallow layer and the like of the to-be-identified picture are considered, and the global information of the picture is added for identifier identification, so that the identifier identification accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an identification recognition method and a model training method, device and electronic system. Background technique [0002] In related technologies, in the process of identifying signs such as license plates, each character of the sign can be firstly segmented, and then the characters are recognized separately, so as to realize the identification of the entire sign; or an end-to-end sign recognition method is adopted, which will soon include The image is input into the trained logo recognition model, and the logo recognition model outputs the recognition result of the logo. In the implementation process of the above two sign recognition methods, most of the features that are finally output by the feature extraction network are used to identify signs such as license plates. Due to the limited features used, the accuracy of sign recognition is low. Contents of t...

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): G06K9/62G06N3/04G06N3/08
CPCG06N3/049G06N3/08G06V20/625G06V2201/09G06N3/045G06F18/251G06F18/253
Inventor 张沁仪邵帅
Owner MEGVII BEIJINGTECH CO LTD