Intelligent advertisement delivery method
An advertising and intelligent technology, applied in the field of intelligent advertising delivery, can solve the problems of not being able to target, waste paper resources, waste of paper resources, etc., to achieve the effect of improving benefits and values, improving efficiency, and avoiding waste
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Embodiment 1
[0053] refer to figure 1As shown, the present invention provides an intelligent advertisement delivery method, including:
[0054] Step 1: The camera device installed on the door tracks multiple face information entering the camera area;
[0055] Step 2: the camera device shoots real-time images, and extracts features from a plurality of face images, called face image feature vectors, to form a sample set, and analyze and identify the gender of the visitor;
[0056] Step 3: The camera captures real-time images, performs feature extraction on a plurality of face images, and preprocesses the face images, which are called face image feature vectors to form a sample set, and analyzes and judges the preprocessed face images Operation, analyze and identify whether the visitor belongs to the old age group or the young age group.
[0057] Step 4: According to the information of the identified visitors in Step 2 and Step 3, conduct modeling analysis, confirm the character characteris...
Embodiment 2
[0104] refer to figure 2 , the difference from Example 1 is that step (1) is included between the third step and the fourth step to verify the gender of the visitor, so that the detection result of the gender of the visitor is more accurate, and the step (1) Include the following steps
[0105] Step Sa: decompose the sample collection collected in step 3 according to the age information, and divide it into various sub-collections,
[0106] Step Sb: Follow M 3 The decomposition-and-combination method of the network trains these subsets, which are then combined into M 3 network classifier
[0107] Step Sc: Carry out gender identification, and compare it with the gender identification in step 2;
[0108] The various sub-sets of Sa are respectively:
[0109] (E1, E2, E3,······,En)
[0110] (B1, B2, B3,..., Bn)
[0111] (N1, N2, N3,······,Nn)
[0112] (F1, F2, F3,..., Fn)
[0113] (C1, C2, C3,..., Cn).
[0114] The manner in which the sub-sets of the step Sb are trained ...
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