Smart Eyewear Context Rules for Precise Image Sharing
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Solution Overview
Problem
Existing image capture eyewear systems lack the ability to efficiently and intelligently send captured images to designated recipients based on context selection criteria, such as location, content, or quality, limiting user convenience and efficiency.
Innovation Solution
The eyewear device includes cameras and a user interface that automatically send captured images to designated recipients by identifying context selection criteria, determining image data, and comparing it to predefined criteria for a match, thereby sending images accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic image sending is implemented without context-based selection, then image sharing convenience is improved, but irrelevant images are sent to recipients reducing efficiency
Solution Approach 1:
The system performs preliminary actions by pre-defining context selection criteria (location, content, quality) and recipient rules before image capture. When an image is captured, the system automatically evaluates it against these pre-set criteria to determine whether and to whom it should be sent, eliminating the need for manual review while ensuring relevance.
Solution Approach 2:
The system implements feedback mechanisms where captured images are automatically evaluated against context selection criteria, and sending decisions are made based on this evaluation. The system provides feedback to users about which images will be sent and to whom, allowing for confirmation or modification of automatic sending decisions.
2Measurement precision
If manual image selection and sending is used, then sending precision is improved, but user time and effort are increased
Solution Approach 1:
The system enables self-service by automatically performing image evaluation, recipient identification, and image sending without requiring user intervention. The eyewear device autonomously captures images, evaluates them against context criteria, identifies appropriate recipients based on pre-defined rules, and sends selected images automatically, freeing users from manual processing while maintaining high sending precision.
Solution Approach 2:
The system introduces an intermediary automated evaluation process between image capture and sending. Context selection criteria and recipient rules act as intermediaries that objectively evaluate images and determine sending decisions, replacing subjective manual user judgment with systematic automated assessment that maintains precision while reducing user time investment.
3Productivity
If context-based automatic sending is implemented, then user efficiency is improved, but device complexity is increased
Solution Approach 1:
The system segments the complex automatic sending function into distinct modular components: image capture module, context evaluation module (assessing location, content, quality), recipient identification module, and image sending module. Each component handles a specific aspect of the process, making the overall system more manageable and maintainable while delivering high user efficiency through automated multi-criteria evaluation.
Solution Approach 2:
The system implements multi-functionality by integrating multiple capabilities into a single eyewear device: image capture, contextual analysis (location, content, quality assessment), recipient management, and automated sending. This universal approach consolidates what could be separate systems into one device, improving user efficiency without proportionally increasing complexity through integration.
Data Source
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AI summary
Systems, methods, and instructions on non-transitory computer readable media for automatically sending images to designated recipients based on context selection criteria (e.g., one or more of location, content, or quality). The system includes a camera and a user interface to trigger the camera to capture an image. The method includes identifying context selection criteria, identifying designated recipients, receiving the image captured by the camera, determining image data for the captured image, comparing the determined image data to the identified context selection criteria to identify a match, and sending the captured image to the set of designated recipients responsive to the identified match.