Dynamic Ad Customization via Viewer Face Capture
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Solution Overview
Problem
Advertisements in public places often fail to engage viewers as they are unappealing, and advertisers lack assurance that their ads are being watched or associated with the public, leading to ineffective advertising.
Innovation Solution
An electronic device equipped with a display unit, image capturing unit, and processor uses AI to capture viewer face images, match them with criteria, and request consent for use in customized advertisements, offering rewards for participation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static advertisements are displayed in public places, then advertising coverage is achieved, but viewer engagement is low
Solution Approach 1:
The advertisement transitions from static to dynamic by replacing the placeholder face with a real-time captured face image of a viewer. The system continuously captures images of passersby, selects appropriate faces based on criteria, and dynamically updates the advertisement display, transforming it from a fixed static ad into an interactive dynamic experience that adapts to different viewers.
Solution Approach 2:
The advertisement system serves itself by automatically capturing viewer faces, selecting appropriate replacements, and updating the display without requiring manual intervention. The system autonomously processes image capture, face detection, selection based on predefined criteria, and graphical replacement, eliminating the need for advertisers to manually select or manage individual viewer interactions.
2Reliability
If advertisers use traditional advertising methods, then advertising presence is maintained, but assurance of audience interaction is lacking
Solution Approach 1:
The system incorporates feedback mechanisms by capturing viewer images, analyzing their characteristics, and using this information to select and replace faces in the advertisement. This feedback loop provides advertisers with concrete evidence that viewers are interacting with and engaging with the advertisement, as the system responds to and incorporates viewer characteristics into the ad display.
Solution Approach 2:
The system replaces traditional mechanical advertising methods with an automated electronic system that uses image capture devices, processing units, and graphical display technology. This substitution eliminates manual advertising management and provides automated, data-driven interaction assurance through electronic image processing and real-time display updates.
3Ease of operation
If face replacement technology is implemented, then viewer engagement is improved, but consent management complexity increases
Solution Approach 1:
The system performs preliminary actions by capturing and analyzing viewer face images before they are selected for advertisement replacement. Viewer faces are pre-processing, analyzed for characteristics, and evaluated against selection criteria in advance, allowing the system to make informed decisions about which viewers to feature and how to manage consent preferences before the actual advertisement display occurs.
Data Source
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AI summary
A method of customizing an advertisement includes displaying an advertisement that contains an area (31) to be filled with an image, capturing a face image of a viewer who is looking at a display unit (11), performing a matching algorithm to determine whether the face image is suitable for filling the area (31) in the advertisement, controlling the display unit (11) to show the face image and a message that requests for consent of the viewer to using the face image in the advertisement, filling the area (31) in the advertisement with the face image to obtain a customized advertisement, and displaying the customized advertisement.