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Targeted self-adjusting advertisement putting system based on face recognition

A face recognition and advertising technology, applied in the field of advertising and data analysis, can solve the problems of difficulty in large-scale use by advertisers, low accuracy of face recognition, affecting advertising effect, etc., to optimize advertising, It is convenient to adjust later and improve the effect of viewing rate

Pending Publication Date: 2019-03-26
CHENGDU REMARK TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, there are already some patents related to electronic advertising screens that count the effects of advertising based on face recognition of the viewing audience, but most of them describe concepts, and few of them are implemented into products. The important reason is that electronic advertising screens are used in real environments. The accuracy of face recognition is not high, which affects the evaluation of advertising effectiveness and makes it difficult for advertisers to use it on a large scale

Method used

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  • Targeted self-adjusting advertisement putting system based on face recognition
  • Targeted self-adjusting advertisement putting system based on face recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] A targeted self-adjusting advertising delivery system based on face recognition, including a face comparison module, a recommendation management module, and a placement effect monitoring module; the face comparison module extracts features from the face features collected by the camera on the advertising screen , compare the extracted face features with the data in the database, if the similarity between the face in the database and the face features acquired in real time is less than or equal to the set threshold, then it is determined that the face features acquired in real time are existing customers , otherwise it is determined to be a new customer and added to the database; if the detected customer is a new customer, then the recommendation management module utilizes a recommendation algorithm to recommend popular advertising information to the customer; if the detected customer is an existing customer, then The recommendation management module automatically recomme...

Embodiment 2

[0044] This embodiment is optimized on the basis of Embodiment 1. The face comparison module includes a face feature library unit and a face feature query comparison unit; Learning, do a second screening of the eigenvalues ​​belonging to the same face angle interval, and merge the eigenvalues ​​of the same face ID; use the face recognition algorithm to judge the similarity of the face features, if the similarity is greater than the set value, Then the recognized face features are merged under the same face ID.

[0045] The present invention improves the recognition rate through autonomous learning, and the present invention can also continuously improve the recall rate of recognition through the study of sample feature values, and more accurate face recognition can improve the advertiser's understanding of the audience, making personalized advertisement delivery more accurate , and at the same time provide more reliable data support for calculating the effect of advertising. ...

Embodiment 3

[0048] This embodiment is optimized on the basis of Embodiment 1 or 2. The recommendation management module includes a creation recommendation unit, a recommendation task scheduling unit, and a recommendation result query unit; the delivery effect monitoring module includes an advertising effectiveness analysis unit and a real-time operation monitoring unit.

[0049] The recommendation management module is mainly based on the viewing history of different viewers, using recommendation algorithms to recommend advertisements or commodities that they may be interested in, and automatically play to the viewers after they are recognized by the display screen next time. Among them, the program of the recommendation algorithm can be created by the system operation and maintenance personnel and added to the system. There are many recommendation algorithms based on viewing history on the market, which are not within the scope of this patent application, and will not be repeated here.

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Abstract

The invention discloses a targeted self-adjusting advertisement putting system based on face recognition. The targeted self-adjusting advertisement putting system comprises a face comparison module, arecommendation management module and a putting effect monitoring module. The face comparison module is used for carrying out feature extraction on face features collected by a camera on the advertisement screen, comparing the extracted face features with data in a database, and if a detected client is a new client, the recommendation management module is used for recommending popular advertisement information to the client by utilizing a recommendation algorithm; If it is detected that the customer is the existing customer, the recommendation management module automatically recommends interested advertisement information to the customer; And the delivery effect monitoring module counts the data information and displays the statistical effect. Personalized advertisement putting can be provided for different audiences through face recognition, the putting effect of advertisements is automatically counted, the cost performance of advertisement marketing is improved, the market value is high, and good practicability is achieved.

Description

technical field [0001] The invention belongs to the technical field of advertisement placement and data analysis, and relates to a targeted self-adjusting advertisement placement system based on face recognition. Background technique [0002] The display screen is used to display advertisements, while the camera is used to capture portraits of people standing in front of the advertising screen. There are many applications of display screens in public places such as airports, supermarkets, restaurants, pharmacies, hotel lobbies, elevators, and residential areas. The installed small and medium-sized electronic display system for displaying advertisements can provide personalized advertisements for different audiences through face recognition. However, at present, there is no automatic statistics on the effect of advertising in the display screen to provide advertisers with more accurate operational data support, and there is no problem of self-learning to improve the recognit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06K9/00G06K9/62
CPCG06Q30/0242G06Q30/0271G06V40/168G06F18/22
Inventor 曾敏毛帆
Owner CHENGDU REMARK TECH CO LTD
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