Statistical device and detection method for television audience ratings based on human face

Abstract

The invention relates to a statistical device and a detection method for television audience ratings based on human face detection, and the device includes a dual camera, an infrared lamp, an infrared lamp light filtering device, a set-top box and a background server, wherein, the dual camera, the infrared lamp and the infrared lamp light filtering device are in a parallel connection, the dual camera is connected with another set-top box, and the set-top box is connected with the background server in a wired or a wireless mode, and the set-top box is also connected with the television set. The invention has the advantages that identity and watching state are recognized and confirmed by biological characteristics; number of people for watching specific advertisement in each time period, preference degree as well as age, gender, level of living of watcher are counted, detected human face is in real-time tracking, thereby avoiding multiple counting and improving accuracy of television audience rating.

Description

technical field [0001] The invention relates to an audience rating statistics device, in particular to a TV audience rating statistics device based on human face detection, and a detection method of the device. Background technique [0002] As we all know, the value and effect of advertising directly affect the interests of businesses. [0003] Advertisements in newspapers and magazines are paid according to the circulation, and online advertisements are paid according to the number of views. For these methods of placing advertisements, it is necessary to carry out quantitative statistics through technical means. [0004] TV advertising is the most effective advertising channel. For TV advertising, usually broadcasters cannot know in advance exactly how many viewers will see a specific advertisement, let alone accurately count the gender of the people watching a specific advertisement. , age, standard of living, etc. So a lot of work goes into predicting viewership numbers...

AI Technical Summary

Problems solved by technology

[0007] But the problem is: 1. Use the imprecise figures such as ratings in the calculation of advertising costs that require extremely high accuracy, so as to judge whether the TV station has fulfilled the ratings promised in the contract and determine the compensation plan; 2. The amount of advertisements to be rebroadcasted is so precise, but the data used to provide compensation standards are inaccurate; 3. Due to differences in calculation methods and definition of target groups, TV stations and advertising companies often have disputes over effective viewing points

Although the survey companies all claim that this part of the data can be corrected, it still raises doubts about the accuracy of the data

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