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Advertisement analysis and delivery method based on machine vision

A technology of advertising analysis and delivery method, applied in the field of advertising analysis and delivery based on machine vision, which can solve the problems of long time period, large capital investment, and no information collection function.

Pending Publication Date: 2022-02-18
ZHEJIANG UNIV CITY COLLEGE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, blind sales will only waste labor and increase costs. Only by mastering consumers' preferences for different products, different age groups' preferences for different products, and targeted marketing products for different consumers can we receive better results. sales results for
However, the traditional marketing model requires a large number of staff to conduct research, summarize and analyze, not only requires a large capital investment, but also takes a long time
At the same time, traditional advertising screens only place fixed advertisements, without the function of information collection, and a large amount of valuable information in front of the advertising screen is ignored

Method used

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  • Advertisement analysis and delivery method based on machine vision
  • Advertisement analysis and delivery method based on machine vision
  • Advertisement analysis and delivery method based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0089] Embodiment 1 of the present application provides a method such as figure 1 The machine vision-based advertising analysis and delivery method shown:

[0090] Step 1. The power supply module supplies power to all modules, and resets each module, and the display module randomly plays the commodity advertisement; the camera module collects the status of pedestrians passing by in front of the advertisement screen in real time, and the video collected by the camera module is pre-processed first, and at the same time The video is stored in the storage module A by the storage control module;

[0091] Step 2. Read the video in storage module A through the storage control module, and continue video processing: use the yolov3 algorithm to detect pedestrians in the video, and at the same time detect whether the pedestrian pays attention to the advertisement on the screen. If the pedestrian pays attention to the advertisement, record The time when the downlink pays attention to the...

Embodiment 2

[0099] On the basis of Embodiment 1, Embodiment 2 of the present application provides a specific implementation of step 4 in Embodiment 1:

[0100] With the increase of age, the skin of the face will become rough, and the corners of the eyes and mouth will sag, such as figure 2 As shown in the color area in the schematic diagram of the face: in addition to the rough skin, the corners of the eyes and the mouth are drooping, the most obvious is the increase of wrinkles. Wrinkles that increase significantly include the wrinkles on both sides of the nose as shown in area 1. As the bags under the eyes increase and the corners of the eyes droop, the wrinkles under the eye bags shown in area 2 will increase, and the crow's feet at the corners of the eyes shown in area 3 will increase. Wrinkles between the brows, shown in 4, will increase forehead lines, shown in area 5. in figure 2 Area 1, area 2, area 3, and area 4 have two symmetrical areas, and there will be multiple forehead ...

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Abstract

The invention relates to an advertisement analysis and delivery method based on machine vision. The method comprises the following steps: a power supply module supplies power to all modules and resets each module, and a display module randomly plays a commodity advertisement; the states of pedestrians passing by in front of an advertisement screen are collected in real time through a camera module, videos collected by the camera module are preprocessed, and meanwhile the videos are stored in a storage module A through a storage control module; and the video in the storage module A is read through the storage control module, and video processing is continued. The method has the beneficial effects that an artificial intelligence machine vision method is adopted to replace a large amount of market investigation and survey of traditional sales personnel, and a full-intelligent product sales mode integrating market investigation and survey, information acquisition, advertisement putting and product sales is realized; and only the number of people concerned by different advertisements, attention time and age level results of followers are collected and detected, and face information of pedestrians is not collected.

Description

technical field [0001] The invention belongs to the technical field of advertisement analysis and delivery, and in particular relates to a machine vision-based advertisement analysis and delivery method. Background technique [0002] Brand promotion and brand promotion are very important to enterprises. Through brand promotion, enterprises let consumers know, recognize and recognize the enterprise, and then consult and purchase the enterprise's products. The sales volume of an enterprise's products directly determines the profitability of the enterprise. However, different products in an enterprise have different degrees of attraction to consumers, and even the same product attracts consumers of different ages. Therefore, blind sales will only waste labor and increase costs. Only by mastering consumers' preferences for different products, different age groups' preferences for different products, and targeted marketing products for different consumers can we receive better r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V40/16G06V20/40G06V20/52G06V40/50G06Q30/02G06Q30/06
CPCG06Q30/0246G06Q30/0254G06Q30/0269G06Q30/0255G06Q30/0641
Inventor 尚丽娜王媛媛宋鹏飞张翠高广春熊凯方健
Owner ZHEJIANG UNIV CITY COLLEGE
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