Physical Environment Image Capture Using Contextual Interest Detection
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Solution Overview
Problem
Capturing images of a physical environment is cumbersome due to the need for user navigation and input, which can be delayed or impossible when hands are occupied, and continuous capturing is limited by power and memory constraints.
Innovation Solution
Devices determine user interest based on contextual and historical data to automatically capture and store images when the interest value exceeds a threshold, reducing the need for manual input and optimizing power and memory usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous image capturing is performed, then image availability is improved, but power consumption and memory usage increase
Solution Approach 1:
The system performs image capturing at periodic intervals rather than continuously, using a timer or trigger mechanism to activate the image sensor only when needed. This reduces power consumption while maintaining image availability for relevant events.
Solution Approach 2:
The device automatically determines user interest and triggers image capture without requiring continuous user input or manual operation. The system monitors contextual data and historical content to autonomously decide when to capture images, reducing both power consumption and user burden.
2Measurement precision
If manual user input is required for image capture, then capture precision is improved, but ease of operation deteriorates
Solution Approach 1:
The device autonomously monitors contextual data and historical content to determine user interest, automatically triggering image capture without requiring manual user input. This maintains capture precision by using automated detection while dramatically improving ease of operation.
Solution Approach 2:
The system continuously monitors contextual data and user behavior patterns, using feedback loops to adjust capture timing based on detected user interest. This automated feedback mechanism achieves precise capture timing without requiring manual user intervention.
3Ease of operation
If automated image capture is performed, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The device uses straightforward automated monitoring of contextual data and historical content to trigger captures based on simple threshold comparisons. This self-service approach improves ease of operation while keeping the processing logic relatively simple and manageable.
4Measurement precision
If contextual and historical data processing is performed, then user interest accuracy is improved, but use of energy increases
Solution Approach 1:
The system processes contextual and historical data periodically rather than continuously, analyzing information only at intervals or when triggered by specific events. This reduces energy consumption while maintaining accurate user interest determination through targeted analysis.
Data Source
AI summary
A method includes, while presenting a representation of a physical environment of the device, obtaining contextual data that indicates a characteristic of the physical environment, the device or a user of the device, and obtaining an indication of historical content associated with the device. The method includes determining, based on the characteristic indicated by the contextual data and the historical content, a user interest value that indicates a user interest level in the physical environment. The method includes storing an image captured by an image sensor in response to the user interest value being greater than a threshold interest value.