Eye-Tracking Photo Capture System for Attention-Based Selection
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Solution Overview
Problem
Current digital camera technologies do not efficiently capture and process photos based on user attention and preferences, lacking a systematic approach to select and organize photos dynamically.
Innovation Solution
A method and system that utilize an eye-tracking device to capture photos continually, generate attention maps, and allow users to select and process photos based on attention information and preferences, combining photos into panoramas or models of locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If photos are captured continually at high frequency, then photo coverage and completeness are improved, but storage space consumption and data management complexity increase
Solution Approach 1:
The system performs preliminary actions by continuously capturing photos in advance and organizing them into temporal sequences before user selection. This allows the system to have photos ready and pre-processed when users want to create collages, reducing real-time processing complexity while maintaining high photo coverage.
Solution Approach 2:
The patent replaces manual photo selection and organization mechanisms with an automated system that uses temporal relationships and computational algorithms to automatically sequence and organize photos. This substitution reduces data management complexity by eliminating manual sorting while maintaining comprehensive photo coverage.
2Manufacturing precision
If manual photo selection and organization is performed, then photo quality and relevance are improved, but time consumption and operational complexity increase
Solution Approach 1:
The system enables self-service by automatically performing photo selection, sequencing, and organization tasks based on temporal data. The automated system serves itself by using embedded temporal relationships to intelligently organize photos without requiring manual user intervention, thereby maintaining photo quality while eliminating time consumption.
Solution Approach 2:
The system implements feedback mechanisms where user interactions with photo sequences provide data that refines future automatic organization algorithms. This feedback loop allows the system to learn from user preferences and improve automated selection accuracy over time, maintaining high photo quality without manual intervention.
3Ease of operation
If photos are organized using traditional chronological methods, then simplicity of organization is improved, but adaptability to user preferences and contexts is reduced
Solution Approach 1:
The system applies dynamics by making photo organization adaptable and flexible rather than static. Temporal sequences can be dynamically adjusted based on user preferences, photo content analysis, and contextual information. This allows the system to maintain simple chronological organization as a base while adapting to diverse user needs and preferences.
Solution Approach 2:
The patent implements universality by creating a multi-functional organization system that can operate in multiple modes: simple chronological ordering for basic needs, and sophisticated temporal-based adaptive organization for advanced needs. This universal system serves both simple and complex organizational requirements through a single flexible framework.
Data Source
AI summary
Implementations generally relate to continually capturing photos. In some implementations, a method includes collecting photos that are captured continually, where the photos are captured continually using a device that is operable to track a gaze of a user. The method also includes enabling the user to select one or more of the photos subsequent to the photos being captured. The method also includes enabling the user to process the selected photos.