Wearable Camera Feature Detection and Selective Zoom Capture
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Solution Overview
Problem
Wearable devices struggle to efficiently and intuitively capture and navigate through user-interesting features in a real-world environment, requiring explicit user input for image capture and navigation.
Innovation Solution
Implementing a system with a processor and camera that automatically determines features of interest based on predefined criteria, zooms in, captures images, and stores them in an image-attribute database, allowing for progressive exploration of surroundings without explicit user navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a wearable camera continuously captures media representing the wearer's real-world experience, then the user can document their experiences automatically, but the device consumes excessive energy and generates large amounts of data that are difficult to navigate and search
Solution Approach 1:
The system performs preliminary analysis of the captured media to identify features of interest before full capture or storage. Interest criteria are evaluated in advance to determine which portions of the continuous media stream warrant detailed capture and storage, allowing the system to prepare for selective documentation without continuously processing all media at full resolution
Solution Approach 2:
Instead of continuously capturing and storing all media at full quality, the system captures only partial content - specifically the portions containing features of interest identified by the interest criteria. This partial action approach reduces energy consumption and data storage requirements while still documenting the essential aspects of the user's experience
2Reliability
If a wearable camera captures all media continuously, then no interesting moments are missed, but the user cannot efficiently find and navigate through the captured content
Solution Approach 1:
The captured media is segmented into distinct portions based on the presence of features of interest. Each segment containing a identified feature is separated and tagged with metadata about the feature type and location. This segmentation allows the user to navigate directly to interesting segments without reviewing entire continuous media files, dramatically reducing search time while maintaining reliability of capturing all potential interesting moments
Solution Approach 2:
An index or metadata layer is introduced as an intermediary between the captured media and the user interface. This intermediary structure organizes the media by features of interest, allowing efficient search and navigation without requiring the user to manually review all captured content. The intermediary maintains the complete capture record while providing efficient access paths
3Loss of information
If the camera captures detailed images of all features, then comprehensive documentation is achieved, but the device complexity and processing requirements increase significantly
Solution Approach 1:
Different quality levels are applied to different portions of the captured media based on their importance. Features of interest identified by the interest criteria are captured at high detail and quality, while other portions are captured at lower resolution or skipped entirely. This local quality approach maintains comprehensive documentation of important features while reducing overall processing complexity and device requirements
Data Source
AI summary
Methods and systems for intelligently zooming to and capturing a first image of a feature of interest are provided. The feature of interest may be determined based on a first interest criteria. The captured image may be provided to a user, who may indicate a level of interest in the feature of interest. The level of interest may be based upon to store the captured image and capture another image. The level of interest may be a gradient value, or a binary value. The level of interest may be based upon to determine whether to store the captured image, and if so, a resolution at which the captured image is to be stored. The level of interest may also be based upon to determine whether to zoom to and capture a second image of a second feature of interest based on the first interest criteria or a second interest criteria.