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

Optimization method and device for priority face recognition database

A face recognition and optimization method technology, applied in the Internet field, can solve the problem of low gate efficiency

Pending Publication Date: 2020-06-30
广州羊城通有限公司
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] It has been found in practice that the current way people pass through the gates of the subway mainly includes one of the methods of swiping the traffic card, swiping the bus code, and inserting coins, etc., all of which have the problem of low efficiency

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
  • Optimization method and device for priority face recognition database
  • Optimization method and device for priority face recognition database
  • Optimization method and device for priority face recognition database

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] see figure 1 , figure 1 It is a schematic flowchart of a method for optimizing a priority face recognition database disclosed in an embodiment of the present invention. in, figure 1 The described method for optimizing the priority face recognition database can be applied to any of the scenes that need to pass gates and have corresponding background servers, such as subway stations, bus stations, and bus stations, which are not limited by the embodiments of the present invention. The present invention is described by taking a subway station scene as an example. Such as figure 1 Shown, the optimization method of this priority face recognition database can comprise the following steps:

[0067] 101. The background server judges whether there are facial feature parameters that do not meet the predetermined priority recognition conditions in the pre-created priority face recognition database. When it is determined that there are facial feature parameters that do not mee...

Embodiment 2

[0115] see figure 2 , figure 2 It is a schematic flow chart of another method for optimizing the priority face recognition database disclosed in the embodiment of the present invention. in, figure 2 The described method for optimizing the priority face recognition database can be applied to any of the scenes that need to pass gates and have corresponding background servers, such as subway stations, bus stations, and bus stations, which are not limited by the embodiments of the present invention. Such as figure 2 Shown, the optimization method of this priority face recognition database can comprise the following steps:

[0116] 201. The background server judges whether the pre-created priority face recognition database satisfies a predetermined optimization condition. When it is judged that the priority face recognition database satisfies the optimization condition, the execution of step 202 may be triggered; when it is judged that the priority face recognition database...

Embodiment 3

[0134] see image 3 , image 3 It is a schematic structural diagram of an optimization device for a priority face recognition database disclosed in an embodiment of the present invention. in, image 3 The described optimization device for the priority face recognition database can be applied to any scene in which a subway station, a bus station, and a bus station need to pass gates and has a corresponding background server, which is not limited by the embodiment of the present invention. Such as image 3 As shown, the optimization device of the priority face recognition database may include a first judgment module 301 and a removal module 302, wherein:

[0135] The first judging module 301 is configured to judge whether there are facial feature parameters that do not meet the predetermined priority recognition conditions in the pre-created priority face recognition database.

[0136] Elimination module 302, for when the first judging module judges that there are facial fea...

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 optimization method and device for a priority face recognition database. The method comprises the steps that a background server judges whether facial feature parameters which do not meet predetermined priority recognition conditions exist in the pre-created priority face recognition database or not; when it is judged that the facial feature parameters which do not meetthe priority recognition condition exist in the pre-created priority face recognition database, the background server removes the facial feature parameters which do not meet the priority recognition condition from the pre-created priority face recognition database. Therefore, by implementing the method, the data volume of the priority face recognition database is reduced by removing the face feature parameters which do not meet the pre-determined priority recognition condition from the pre-created priority face recognition database, and the face recognition efficiency of passengers can be improved, so the face-scanning authentication lockage efficiency is improved, and the experience feeling of the passengers is improved.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to an optimization method and device for a priority face recognition database. Background technique [0002] With the vigorous promotion of green travel and the rapid development of urban public transportation, more and more people prefer to choose public transportation. For example, the subway has the advantages of large capacity, high comfort, less pollution and low energy consumption. It has become the first choice of transportation for people to travel. [0003] It has been found in practice that the current way for people to pass through the gates of the subway mainly includes one of the methods of swiping the traffic card, swiping the bus code, and inserting coins. Therefore, how to improve the user's gate-passing efficiency is particularly important. Contents of the invention [0004] The technical problem to be solved by the present invention is to provide a method ...

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
IPC IPC(8): G06K9/00G06F16/532G06F16/583G07C9/37
CPCG06F16/532G06F16/583G06V40/172G06V40/161G06V40/168
Inventor 顾裕波李济腾袁勇谢振东温晓丽邓志
Owner 广州羊城通有限公司
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