AI Audience Segmentation for Targeted Audio, Image, and Video Playback
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Solution Overview
Problem
Existing advertising methods in public places, such as billboards and LED screens, are ineffective in targeting specific audiences and fail to ensure the effectiveness of advertising messages due to their reliance on random audience presence, lacking personalized content delivery.
Innovation Solution
A method and system utilizing mobile communication antennas to gather data on individuals within a coverage area, process this data with AI for market segmentation, and selectively reproduce audio and/or video content tailored to the identified audience demographics, ensuring targeted content delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional billboards or LED screens are used for advertising in public places, then the advertising message can be displayed to anyone passing by, but the effectiveness of the message is low because it cannot be targeted to specific audience segments
Solution Approach 1:
The patent segments the audience into different homogeneous groups (Gi) based on demographic data (age, gender) collected from mobile devices. Instead of treating all passersby as a single audience, the system divides them into segments and delivers customized advertising content to each segment, thereby improving both adaptability and effectiveness
Solution Approach 2:
The patent applies local quality by providing different advertising contents to different spatial locations or audience segments within the coverage area. Each homogeneous group receives advertising content specifically tailored to their characteristics, making the advertising message locally optimized for each segment rather than uniformly applied
2Adaptability or versatility
If LED screens display predetermined images or videos, then the advertising content can be reproduced, but the effectiveness depends randomly on the audience present at that moment rather than being deliberately targeted
Solution Approach 1:
The patent implements feedback by continuously collecting data from mobile devices in the coverage area, analyzing the current audience composition, and automatically selecting and delivering appropriate advertising content in real-time. This closed-loop system eliminates the random dependency on audience presence by actively adapting content based on real-time feedback
Solution Approach 2:
The patent makes the advertising system dynamic by transitioning from static predetermined content display to real-time adaptive content selection. The system continuously monitors audience composition and dynamically adjusts which advertising content is delivered, ensuring the content matches the current audience demographics rather than relying on random timing
3Object-affected harmful factors
If advertising content is displayed in construction areas, then the visual impact of the construction site can be reduced, but the content must be generic to appeal to all passing audiences
Solution Approach 1:
The patent segments construction site advertising into different homogeneous groups based on demographic data collected from mobile devices in the area. This allows the construction company to deliver different advertising messages to different audience segments (e.g., different age groups, genders) rather than using a single generic message, thereby maintaining content personalization while mitigating visual impact
Data Source
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AI summary
Method and system for reproducing audio and/or image and/or video contents comprising the steps of positioning at least one antenna for mobile communication (10) at a predetermined working position to receive and/or transmit data (51a,51b,51i,...,51n) from and/or towards at least a mobile electronic device (50) placed at a determined instant (ti) within a predetermined coverage cone (200) and associated to at least one person (100). A step is, then, provided for acquiring by the antenna for mobile communication (10) data (51a, 51b, 51i,...,51n) related to at least a person (100) associated to the mobile electronic device (50) and a step for sending the data (51a, 51b, 51i,...,51n) to a main processing unit (300). This processes the acquired data by an artificial intelligence software (AI) on the basis of logics of clustering for individuating at least a preponderant homogeneous group of people (Gi*). A step follows for selecting at least an audio and/or image and/or video content (55*) corresponding to the preponderant homogeneous group of people (Gi*) and a step for reproducing the same by at least an audio and/or image and/or video reproduction device (60)