Gaze Recognition Camera System for Dynamic Advertisement Targeting
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Solution Overview
Problem
Existing advertising methods fail to automatically and effectively reflect a user's interest in real-time while consuming media, leading to inefficient advertisement exposure.
Innovation Solution
A device and method utilizing gaze recognition to adjust camera angles and provide customized content by detecting a user's gaze direction and interest, allowing for real-time adjustment of the viewing angle and outputting relevant product information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advertisements are provided unilaterally to a number of people, then advertisement exposure is achieved, but the advertisement effects vary widely and cannot reflect viewers' actual interest
Solution Approach 1:
The system uses gaze recognition technology to continuously monitor and detect users' eye movements and focus points on the display screen. This real-time feedback mechanism captures actual viewing behavior, allowing the system to dynamically adjust advertisement delivery based on measured interest levels, thereby resolving the contradiction between broad exposure and precise interest measurement
Solution Approach 2:
The patent replaces traditional mechanical survey methods (questionnaires, user profiles) with optical detection systems (cameras, eye-tracking sensors) to automatically measure viewers' degree of interest. This substitution enables objective, real-time measurement of attention without requiring user action, improving both measurement precision and advertisement exposure efficiency
2Adaptability or versatility
If a user selects an advertisement through manual action, then personalized advertisement is provided, but the advertisement is less exposed compared to unilateral provision
Solution Approach 1:
The system enables self-service personalization by automatically detecting user interest through gaze recognition and autonomously selecting and delivering relevant advertisements. This eliminates the need for manual user selection while maintaining personalization, thereby resolving the contradiction between adaptability and productivity
Solution Approach 2:
The system performs preliminary analysis of user gaze patterns and interest levels before advertisement delivery, pre-processing user behavior data to predict preferred content. This preliminary action enables the system to proactively provide personalized advertisements that users are likely to be interested in, increasing both personalization and exposure volume
3Device complexity
If camera viewing angle is fixed, then device structure is simple, but it cannot adapt to different user physical characteristics in real time
Solution Approach 1:
The patent implements a dynamic camera system that automatically adjusts its viewing angle and positioning based on real-time detection of user physical characteristics such as face position, distance, and orientation. This dynamic adjustment capability allows the system to adapt to different users without requiring complex manual configuration, resolving the contradiction between device simplicity and adaptability
Data Source
AI summary
A method of providing customized content based on gaze recognition executed by at least one processor of a content providing device includes obtaining a face recognition image of a user based on an image sensor, obtaining a face front view image of the user by controlling the image sensor based on the obtained face recognition image, generating gaze information including a gaze direction and gaze fixing time information of the user based on the obtained face front view image, determining a display area corresponding to the generated gaze information as a region of interest, detecting an item matching the determined region of interest, and providing product information content for the detected item.