Passenger flow statistics method and system based on face recognition

A technology of face recognition and statistical methods, applied in the field of face recognition, can solve problems such as inability to clearly analyze shop or store passenger flow data information or activity effects

Pending Publication Date: 2020-12-01
ROPEOK TECHNOLOGY GROUP CO LTD +1
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  • Abstract
  • Description
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Problems solved by technology

[0003] In order to solve the technical problem that the passenger flow statistics in the prior art are simple person-time flow technology and cannot clearly analyze the pass

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  • Passenger flow statistics method and system based on face recognition
  • Passenger flow statistics method and system based on face recognition
  • Passenger flow statistics method and system based on face recognition

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Embodiment Construction

[0032] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0033] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0034] According to the passenger flow counting method based on face recognition according to an embodiment of the present application, figure 1 A flow chart of a method for counting passenger flow based on face recognition according to an embodiment of the present applicati...

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Abstract

The invention provides a passenger flow statistics method and system based on face recognition, and the method comprises the steps of obtaining a face image captured by image collection equipment, extracting the face features through a face recognition engine, and constructing an aggregated person main image set of the face image based on the face features; merging the human face images with the newly added human face features into a corresponding aggregator main image set, otherwise, adding the human face images with the newly added human face features into the aggregator main image set; newly adding or updating attribute information of the set; and associating sales commodity records of the store, gathering the personnel main graph set and the attribute information thereof, and obtainingpassenger flow statistical data of the store. According to the method, face attributes and face clustering are applied to stores or shops for passenger flow statistics, and more accurate analysis data information of each month of stores or shops is automatically obtained.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a method and system for counting passenger flow based on face recognition. Background technique [0002] In recent years, the popularity of online e-commerce is gradually changing people's consumption habits. Online and offline competition is becoming increasingly fierce. Offline operating costs are higher and coverage is smaller. In terms of store or store traffic statistics, most It is just a simple headcount calculation, and the number of passenger flow statistics is to realize simple person-time flow counting. There is no clearer data analysis, and it is impossible to analyze the customer flow data information or activity effects of shops or stores more clearly. With the development of related technologies such as face recognition and face detection , Face applications are also becoming more and more abundant. The face recognition passenger flow statistics system wil...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/178G06V40/172G06V20/53G06F18/22
Inventor 陈生坚范志建李仁杰陈延行江文涛张翔吴俊
Owner ROPEOK TECHNOLOGY GROUP CO LTD
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