Intelligent display method of AIGC content
By using the object analysis system and AIGC engine in the elevator advertising machine, the advertising content is dynamically generated based on the characteristics and needs of the passengers in the elevator, which solves the problem of lack of targetedness and flexibility in the content of traditional elevator advertising machines, and improves the marketing effect of advertising.
Patent Information
- Application Number
- CN202510192284.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-21
- Publication Date
- 2025-06-10
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The content displayed by traditional elevator advertising machines lacks targetedness and flexibility, and cannot dynamically adjust the advertising content based on the characteristics and needs of the passengers in the elevator.
The object characteristics, items and floors of the passengers in the elevator are obtained through the object analysis system, the weight factor and object target weight factor of the object characteristics are calculated, the object portrait and object target are obtained, and then the AIGC engine is used to predict the object's immediate core needs and generate dynamic advertising content.
It realizes the pertinence and flexibility of advertising content, fully considers the characteristics and instant interests of riding objects, and improves the marketing effect of advertising content.
Smart Images
Figure CN120125296A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to an advertisement content display method, and particularly to an intelligent display method for AIGC content applied in the field of artificial intelligence. Background Art
[0002] AIGC is the abbreviation of Artificial Intelligence Generated Content, which refers to using artificial intelligence technologies, especially natural language processing (NLP), machine learning, deep learning, etc., to generate various forms of content, such as articles, music, pictures, videos, etc. The core of AIGC lies in autonomously generating high-quality text, images, audio, video and other various types of content by simulating the human creation process.
[0003] Existing elevator advertisement machines play pre-recorded advertisement content in a loop, without considering the passengers in the elevator and their states. They can only play the recorded advertisements in a loop, and the advertisements lack pertinence and flexibility, and the advertisement content display effect is not good.
[0004] Existing Chinese Patent CN2024102664335 discloses an intelligent display method and system for AIGC content. The method includes: receiving an emotional state signal input by a user, and converting the emotional state signal into an emotional parameter; calculating a content adjustment factor according to the emotional parameter and a preset emotional response mapping rule; adjusting the content attributes generated by an AIGC generation engine according to the content adjustment factor; using the AIGC generation engine to output AIGC content that is dynamically synchronized with the user's emotional state.
[0005] However, inferring emotions based on human expressions for content generation and content display only affects the emotional attributes of the generated content in a single dimension, and there is still a lack of generation basis for advertisement display content generation. Summary of the Invention
[0006] Aiming at the above-mentioned prior art, the technical problem to be solved by the present invention is that the content displayed by traditional elevator advertisement machines is pre-recorded advertisement segments, and the content display lacks pertinence and flexibility.
[0007] To solve the above problems, the present invention provides an intelligent display method for AIGC content, including the following steps:
[0008] Step 1, obtaining the object characteristics of the passengers in the elevator, the items carried by the passengers, and the floors where the passengers are located through an object analysis system;
[0009] Step 2: Calculate the weight factor of the object feature and the object target weight factor based on the object feature, the carried items and the floor, and then obtain the object portrait and the object target;
[0010] Step 3: The AIGC engine predicts the immediate core needs of the target based on the target profile and target target, and then generates advertising content, which includes the core content, the number and duration of the core content, and the playback order;
[0011] Step 4: the advertisement playing device plays the generated advertisement content;
[0012] Among them, object characteristics include the physiological characteristics and clothing of elevator passengers, the items carried by passengers are items other than clothing, and the floors where passengers take the elevator include the floor where they enter the elevator and the target floor; the object feature weight calculation factor is the probability of predicting various portraits of passengers based on physiological characteristics and clothing, and the object target weight factor is the probability of predicting various tasks that the object has completed and is to be completed before and after entering and exiting the elevator based on the object characteristics, the items carried and the floor where they take the elevator; the object portrait and object target are based on the object feature weight factor and the object target weight factor, which comprehensively predict the portrait of the passengers and the completed and pending tasks, that is, who the passengers are (the marketing target for advertisers), what they have done before entering the elevator, and what they are going to do after getting off the elevator; the immediate core demand is based on the passengers themselves and the completed or pending tasks, which are the most likely products and service demands.
[0013] In the above-mentioned intelligent display method of AIGC content, the AIGC engine predicts the immediate core needs of the object based on the object portrait and object target, and then generates advertising content.
[0014] As a further improvement of the present application, in step one, by obtaining the activity venue where the elevator is installed and the activity venues on the floors where the elevator is entered and exited, in step two, when calculating the object feature weight factor and the object target weight factor, the influence of the venue factor on the calculation result is taken into account to improve the accuracy of the judgment of the object features and the object targets.
[0015] As a further improvement of the present application, in step one, by obtaining the number of passengers in the elevator, that is, the number of objects, the influence of the number of objects and the number of objects with the same object characteristics, that is, the quantity factor on the calculation result is taken into account when calculating the object feature weight factor and the object target weight factor in step two, thereby improving the influence of the number of objects and the number of objects with the same object characteristics on the generated core content, the length and quantity of the core content, and the playback order in step three.
[0016] As a further improvement of the present application, in step two, when calculating the object feature weight factor and the object target weight factor, the time for different passengers to get on and off the elevator and the riding duration, i.e., the time factor, are considered to improve the quality of the core content generated in step three and the optimization of the playing order of the core content.
[0017] As a further improvement of the present application, in step one, by obtaining the object's reaction to the displayed content, in step two, calculating the object feedback weight factor and considering the influence of the object feedback factor on the object feature weight factor and the object target weight factor, and in step three, considering the influence of the object feedback on the generated core content, the length and quantity of the core content, and the playing order.
[0018] As a further improvement of the present application, in step two, the weight basis for calculating each weight factor is the positive influence weight of each factor on the advertising marketing effect, and the positive influence weight of the advertising marketing effect is based on artificial weighting or the influence of advertising display on sales promotion.
[0019] As a further improvement of the present application, the object analysis system includes an acquisition module, a weight factor calculation module, an AIGC module, a display module, and an object feedback module; the weight factor calculation module includes an object weight factor calculation unit, an object target weight factor calculation unit, a place weight factor calculation unit, a time weight factor calculation unit, an object feedback weight factor calculation unit, and a weight factor weighting unit; the AIGC module includes an AIGC engine, and the output ends of the AIGC engine are respectively connected to a core content unit, a content quantity unit, a content duration unit, and a content playing order unit.
[0020] As a further improvement of the present application, the acquisition module includes an object acquisition unit, an item acquisition unit, a floor acquisition unit, a place acquisition unit, and a time acquisition unit. The object acquisition unit is used to identify the physiological characteristics and clothing of the elevator passengers. The item acquisition unit identifies the items carried by the elevator passengers. The floor acquisition unit records the floors where the elevator passengers enter and exit. The place acquisition unit identifies the place where the elevator is located and obtains the places existing on the floors where the elevator passengers enter and exit; the time acquisition unit obtains the real time and the riding duration of the elevator passengers.
[0021] As a further improvement of the present application, the display module includes an audio display unit, a video display unit, and a text display unit.
[0022] As a further improvement of the present application, the object feedback module includes a facial feedback unit, a motion feedback unit, and a voice feedback unit.
[0023] In summary, the display method adopted by the present invention obtains data such as object characteristics, items, and the floor where the user is located, then calculates the weight factor of object characteristics and the weight factor of object goals, obtains the object portrait and object goals, and then uses the AIGC engine to predict the immediate core needs of the object based on the object portrait and object goals, and then generates advertisement content, which is then displayed on the elevator advertisement machine. This overcomes the problems of lack of pertinence and flexibility in the display content of traditional elevator advertisement machines, and the generated content fully considers the viewing object and the immediate interests of the viewing object, improving the marketing effect of the advertisement content. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] Figure 1 is a flowchart of the display method in this application;
[0025] Figure 2 is a module diagram of the display method in this application. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0026] The following will describe in detail two embodiments of this application with reference to the accompanying drawings.
[0027] The first embodiment:
[0028] Figure 1 Discloses an intelligent display method for AIGC content, including the following steps:
[0029] Step 1, obtain the object characteristics of the passengers in the elevator, the items carried by the passengers, and the floors where the passengers are located through the object analysis system;
[0030] Among them, the object characteristics include the physiological characteristics and clothing of the elevator passengers, the items carried by the passengers are other items except clothing, and the floors where the passengers are located include the floors where they enter the elevator and the target floors;
[0031] Step 2, calculate the weight factor of object characteristics and the weight factor of object goals based on object characteristics, carried items, and floors where the passengers are located, and then obtain the object portrait and object goals;
[0032] The object characteristic weight calculation factor is the probability of predicting various portraits of the passengers based on physiological characteristics and clothing, and the object goal weight factor is the probability of predicting various matters that have been completed and to be completed by the object before and after entering and leaving the elevator based on object characteristics, carried items, and floors where the passengers are located;
[0033] Step 3, the AIGC engine predicts the immediate core needs of the object based on the object portrait and object goals, and then generates advertisement content, and the advertisement content includes the core content, the quantity and duration of the core content, and the playing order;
[0034] Object profile and object target are based on object feature weight factors and object target weight factors to comprehensively predict the profile of passengers and the completed and pending tasks, that is, who the passengers are (marketing targets for advertisers), what they have done before entering the elevator, and what they will do after getting off the elevator;
[0035] Instant core demand refers to the demand for goods and services that are most likely to be needed at the moment based on the passengers themselves, completed or pending tasks;
[0036] Step 4: the advertisement playing device plays the generated advertisement content.
[0037] Specifically, cameras installed in the elevator and at the elevator entrances on each floor are used to identify passengers' biometric features, clothing, and belongings, obtain the floor the passengers enter and the target floor when they press the elevator button, calculate the weight factor of each feature, and predict possible events that the passengers may perform before and after the ride. The AIGC engine then predicts the object's immediate core needs based on the object's portrait and target, and generates advertising content for display on the elevator advertising machine.
[0038] It should be noted that biometric features include age, gender, weight, etc., clothing includes clothes, shoes and hats, and carried items include other individual items besides clothing.
[0039] In order to further illustrate the intelligent display method of AIGC content, an actual example is given. Due to the diversity of the characteristics of passengers, the following actual example is only used as a practical situation. For example: a teenager carrying a schoolbag enters the elevator on a high floor and presses the button for the first floor of the elevator. In this process, the object feature obtained is a young person. Based on the fact that he carries a schoolbag (carrying items) and goes from a high floor to a first floor (riding floor), based on the object weight factor and the object target weight factor calculation, it can be predicted with a high probability that the teenager is a student and is leaving home to go to the teaching place. Correspondingly, if the same teenager enters from the first floor with a schoolbag and presses the button for a high floor, it can be concluded with a high probability that the teenager is going home after school. Then the AIGC engine predicts the object's immediate core needs based on the object portrait and object target, and produces advertising content about different goods and services that the teenager may be interested in in different situations on the way to school or after school, that is, the immediate core needs are determined by using the immediate interests of different objects in different states, and advertising content is generated based on the object and the object's immediate core needs for display.
[0040] Compared with the traditional display method of loop-playing recorded advertisements on elevator advertising machines, the display method adopted by the present invention obtains data such as object characteristics, items, and the floors where the elevator is ridden, then calculates the object characteristic weight factor and the object target weight factor, obtains the object portrait and the object target, and then uses the AIGC engine to predict the immediate core needs of the object based on the object portrait and the object target, and further generates advertisement content for display on the elevator advertising machine. This overcomes the problems of lack of pertinence and flexibility in the display content of traditional elevator advertising machines, and the generated content fully considers the viewing object and the immediate interests of the viewing object, improving the marketing effect of the advertisement content.
[0041] Please refer to Figure 1 , in step one, by obtaining the activity places where the elevator is installed and the activity places where the elevator enters and exits, and in step two, when calculating the object characteristic weight factor and the object target weight factor, considering the influence of the place factor on the calculation result to improve the judgment accuracy of the object characteristics and the object target.
[0042] Specifically, by calculating the weight of the activity place factor, the accuracy of object target prediction is further improved. For example, in a commercial plaza, a young woman enters the elevator from a high floor with a yoga ring and presses the button for a low floor. The high floor has a yoga hall and the low floor has a swimming pool. Then, the prediction probability that the woman has just finished a yoga activity and then wants to go swimming will be greatly improved due to the addition of the place factor, thus improving the pertinence of the advertisement content generation and display.
[0043] Please refer to Figure 1 , in step one, by obtaining the number of passengers in the elevator, that is, the number of objects, and in step two, when calculating the object characteristic weight factor and the object target weight factor, considering the influence of the number of objects and the number of objects with the same object characteristics, that is, the number factor, on the calculation result to improve the influence of the number of objects and the number of objects with the same object characteristics on the generated core content, the length and quantity of the core content, and the playing order in step three.
[0044] Specifically, similarly, by introducing the number factor, the object characteristics of the passengers are separately identified and the number of passengers with similar characteristics is separately counted. For example, in an elevator in a community, a group of teenagers carrying schoolbags and an old man with nothing in his hands enter the elevator from the first floor of the residential building and press the elevator buttons for different floors. Then, obviously, for the advertising marketing value, the object characteristic weight factor and the number factor weight given to the group of teenagers carrying schoolbags must be greater than the object characteristic weight factor and the number factor weight of the old man with nothing in his hands, and the place factor may not be important in this scenario, making the advertisement display content obtain a greater display effect.
[0045] Please refer to Figure 1 In step two, when calculating the object feature weight factor and the object target weight factor, consider the time for different passengers to get on and off the elevator and the riding duration, that is, the time factor, to improve the quality of the core content generation in step three and optimize the playback order of the core content.
[0046] Specifically, different time factor weights are given to the target floors and riding times of each passenger, and the arrangement of the advertising content playback order is realized. For example, a young lady dressed fashionably enters the elevator from the first floor and wants to go to the tenth floor, and an elderly man goes from the first floor to the twentieth floor empty-handed. Obviously, when calculating the weight factor, the young lady dressed fashionably gets a higher weight of the time factor, which has different impacts on the core content, content length and quantity, and playback order of the displayed content; in addition, the time factor also includes the actual time. For example, the time factors in the morning, noon, and evening also have different weights for different objects.
[0047] Please refer to Figure 1 In step two, the weight benchmark for calculating each weight factor is the positive impact weight of each factor on the advertising marketing effect. The positive impact weight of the advertising marketing effect is weighted manually or based on the different influences of advertising display on sales promotion, and the weight values of each weight factor are arithmetically accumulated to predict the object portrait and object target.
[0048] Specifically, for example, when using manual weighting for the object feature weight factor, the weighted values given to children, women, the elderly, and men can be: one, two, zero point five, and zero point one respectively. When weighting the object target weight factor, the weighted values given to children after school, young women taking fitness classes, the elderly picking up children, and middle-aged men after work can be: two, five, one, and zero point one respectively; and the weighting based on the influence of advertising display on sales promotion is the conversion rate data calculated after obtaining sales data after advertising display for a period of time. It should be noted that the positive impact of advertising marketing effect refers to the improvement of the conversion rate of the advertisement.
[0049] It should be noted that when predicting the object portrait and object target, it can be based on the arithmetic sum of the weight values of each weight factor.
[0050] Please refer to Figure 2 The object analysis system includes an acquisition module, a weight factor calculation module, an AIGC module, and a display module; the weight factor calculation module includes an object weight factor calculation unit, an object target weight factor calculation unit, a place weight factor calculation unit, a time weight factor calculation unit, and a weight factor weighting unit; the AIGC module includes an AIGC engine, and the output ends of the AIGC engine are respectively connected to a core content unit, a content quantity unit, a content duration unit, and a content playback order unit.
[0051] Specifically, the output end of the display module is connected to an advertising machine installed in the elevator.
[0052] Please refer to Figure 2 , the acquisition module includes an object acquisition unit, an item acquisition unit, a floor acquisition unit, a location acquisition unit, and a time acquisition unit. The object acquisition unit is used to identify the physiological characteristics and clothing of elevator passengers. The item acquisition unit identifies the items carried by elevator passengers. The floor acquisition unit records the floors where elevator passengers enter and exit the elevator. The location acquisition unit identifies the location where the elevator is located and acquires the locations where elevator passengers enter and exit the floors. The time acquisition unit acquires the real time and the riding duration of elevator passengers.
[0053] Specifically, the object acquisition unit and the item acquisition unit are respectively electrically connected to cameras inside the elevator or outside the elevator doors on each floor. The floor acquisition unit is electrically connected to the elevator button controller. The time acquisition unit is electrically connected to the clock module and the elevator button controller.
[0054] Please refer to Figure 2 , the display module includes an audio display unit, a video display unit, and a text display unit.
[0055] Specifically, the audio display unit is electrically connected to the speaker of the advertising machine. The video display unit and the text display unit are respectively electrically connected to the display screen of the advertising machine.
[0056] The second implementation mode:
[0057] Figure 1 Disclosed is an intelligent display method for AIGC content. Based on the first implementation mode, in this embodiment, in step one, the object reaction to the display content is obtained through an object. In step two, the object feedback weight factor is calculated, and the influence of the object feedback factor on the object feature weight factor and the object target weight factor is considered. In step three, the influence of the object feedback on the generated core content, the length and quantity of the core content, and the playing order is considered.
[0058] Specifically, for example, when playing an advertisement for a yoga class for young women, if a young woman shows a disgusted expression, the advertisement display content is switched accordingly.
[0059] Please refer to Figure 2 , the object analysis system further includes an object feedback module. The object feedback module further includes a facial feedback unit, an action feedback unit, and a voice feedback unit. The weight factor calculation module further includes an object feedback weight factor calculation unit.
[0060] Specifically, both the facial feedback unit and the motion feedback unit are electrically connected to the camera, and the sound feedback unit is electrically connected to the microphone of the advertising machine.
[0061] Combined with the current actual requirements, the above implementation manner adopted in this application, the protection scope is not limited thereto. Within the scope of knowledge possessed by those skilled in the art, various changes made without departing from the concept of this application still fall within the protection scope of the present invention.
Claims
1. An intelligent display method for AIGC content, characterized in that: The steps include: Step 1: Obtain the object characteristics of passengers in the elevator, the items carried by the passengers, and the floors on which the passengers travel through the object analysis system; Step 2: Calculate the weight factor of the object feature and the object target weight factor based on the object feature, the carried items and the floor, and then obtain the object portrait and the object target; Step 3: The AIGC engine predicts the immediate core needs of the target based on the target profile and target target, and then generates advertising content, which includes the core content, the number and duration of the core content, and the playback order; Step 4: the advertisement playing device plays the generated advertisement content; The object characteristics include the physiological characteristics and clothing of the elevator passengers, the items carried by the passengers are other items except clothing, and the floors taken by the passengers include the elevator entry floor and the destination floor; The object feature weight calculation factor is the probability of predicting various portraits of passengers based on physiological features and clothing, and the object target weight factor is the probability of predicting various tasks that the object has completed and is to be completed before and after entering and exiting the elevator based on the object features, the items carried and the floor on which they are sitting; The object portrait and object target are based on the object feature weight factor and the object target weight factor, and comprehensively predict the image of the passenger and the completed and pending matters, that is, who the passenger is (marketing target for advertisers), what he has done before entering the elevator, and what he will do after getting off the elevator; The immediate core demand is based on the passengers themselves and the completed or to-be-completed tasks, and is the demand for goods and services that are most likely to be needed at the moment.
2. The method for intelligently displaying AIGC content according to claim 1, characterized in that: In step one, by obtaining the activity venue where the elevator is installed and the activity venues on the floors where the elevator is entered and exited, in step two, the influence of the venue factor on the calculation result is considered when calculating the object feature weight factor and the object target weight factor, so as to improve the accuracy of the judgment of the object feature and the object target.
3. The method for intelligently displaying AIGC content according to claim 1, characterized in that: In step one, by obtaining the number of passengers in the elevator, that is, the number of objects, the influence of the number of objects and the number of objects with the same object features, that is, the quantity factor on the calculation result is taken into account when calculating the object feature weight factor and the object target weight factor in step two, thereby improving the influence of the number of objects and the number of objects with the same object features on the generated core content, the length and quantity of the core content, and the playback order in step three.
4. The method for intelligently displaying AIGC content according to claim 1, characterized in that: In step 2, the object feature weight factor and the object target weight factor are calculated by taking into account the time for different passengers to get on and off the elevator and the ride duration, i.e., the time factor, to improve the quality of core content generation in step 3 and to optimize the order in which the core content is played.
5. The method for intelligently displaying AIGC content according to claim 1, characterized in that: In step one, the object's reaction to the displayed content is obtained. In step two, the object feedback weight factor is calculated, and the influence of the object feedback factor on the object feature weight factor and the object target weight factor is considered. In step three, the influence of the object feedback on the generated core content, the length and quantity of the core content, and the playback order is considered.
6. The method for intelligently displaying AIGC content according to claim 1, characterized in that: In step 2, the weight basis for calculating each weight factor is the positive impact weight of each factor on the advertising and marketing effect. The positive impact weight of the advertising and marketing effect is based on manual weighting or on the influence of advertising display on sales promotion.
7. The method for intelligently displaying AIGC content according to claim 1, characterized in that: The object analysis system includes an acquisition module, a weight factor calculation module, an AIGC module, a display module and an object feedback module; the weight factor calculation module includes an object weight factor calculation unit, an object target weight factor calculation unit, a place weight factor calculation unit, a time weight factor calculation unit, an object feedback weight factor calculation unit, and a weight factor empowerment unit; the AIGC module includes an AIGC engine, and the output end of the AIGC engine is respectively connected to a core content unit, a content quantity unit, a content duration unit, and a content playback order unit.
8. The method for intelligently displaying AIGC content according to claim 7, characterized in that: The acquisition module includes an object acquisition unit, an item acquisition unit, a floor acquisition unit, a place acquisition unit, and a time acquisition unit. The object acquisition unit is used to identify the physiological characteristics and clothing of elevator passengers. The item acquisition unit identifies the items carried by the elevator passengers. The floor acquisition unit records the entry and exit of the elevator passengers. The place acquisition unit identifies the location of the elevator and acquires the places where the elevator passengers enter and exit the floor. The time acquisition unit acquires the actual time and the duration of the elevator passengers' ride.
9. The method for intelligently displaying AIGC content according to claim 7, characterized in that: The display module includes an audio display unit, a video display unit and a text display unit.
10. The method for intelligently displaying AIGC content according to claim 7, characterized in that: The object feedback module includes a facial feedback unit, a motion feedback unit and a sound feedback unit.