Electronic information board advertisement putting effect analysis method based on face identification
An electronic stop sign, face recognition technology, applied in the field of face recognition, can solve problems such as unfavorable enterprises advertising, lack of analysis of passenger viewing, etc., to achieve the effect of accurate data support
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[0030] A face recognition-based method for analyzing the effect of advertising on an electronic stop sign, comprising the following steps:
[0031] S1. Image acquisition:
[0032] S11. Haar classifier training module: A strong classifier for distinguishing between human faces and non-human faces is obtained by applying the Haar features of the AdaBoost algorithm training samples, and all the strong classifiers are filtered and cascaded as Haar classifiers.
[0033] S12. A face detection camera is set above the electronic stop sign liquid crystal display, and the face detection is carried out by the Haar feature of the Haar classifier from the video taken by the face detection camera, and the face images of the passengers are collected, and then a large number of images are collected. Storage of face images.
[0034] Face detection includes the following steps:
[0035] Perform grayscale processing on each frame of video image collected by the camera, and use the Haar classif...
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