Camera Viewfinder Action Interface for Recognized Scene Entities
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Solution Overview
Problem
Existing image capture technologies do not effectively utilize the content of captured images to provide actionable insights or reminders based on recognized entities, limiting the user's ability to fulfill their original intent when taking photos.
Innovation Solution
An action interface is displayed in a camera's viewfinder that provides action elements based on recognized entities in the image data, allowing users to execute actions such as sharing, purchasing, downloading, or adding events based on identified entities or annotations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If image capture technology is used to record scenes, then images can be stored as keepsakes or shared, but the content of captured images is not effectively utilized to provide actionable insights or reminders
Solution Approach 1:
The system performs entity recognition and action determination in advance, analyzing image content before the user needs to take action. By pre-processing the image data to identify entities and determine relevant actions, the system prepares actionable insights ready for immediate presentation to the user, thus preventing loss of information while maintaining ease of operation.
Solution Approach 2:
The system introduces an intermediary processing layer between image capture and user interaction. This intermediary analyzes the captured image content, identifies entities, determines relevant actions, and presents them through an action interface. This mediator transforms raw image data into actionable insights, effectively utilizing image content while simplifying user interaction through automated analysis.
2Adaptability or versatility
If traditional camera interfaces are used, then users can capture images, but the interface does not provide actionable options based on recognized entities in the image data
Solution Approach 1:
The interface is segmented into functional components: entity recognition module, action determination module, and action interface display module. Each segment handles a specific task in the pipeline from image analysis to action presentation. This segmentation allows the system to provide adaptable actionable options based on image content while managing complexity through modular design, where each component can be developed and maintained independently.
3Reliability
If image data is analyzed to determine entities and actions, then users can gain knowledge about depicted entities and execute relevant actions, but additional processing steps are required
Solution Approach 1:
The system performs entity recognition and action determination as preliminary actions during or immediately after image capture. By initiating the analysis process early and preparing actionable insights in advance, the system ensures accurate entity recognition while minimizing the time users need to wait before taking action. The processing is staged so that critical path operations are optimized and non-critical operations can proceed asynchronously.
Data Source
AI summary
Implementations of the present disclosure include actions of receiving image data of an image capturing a scene, receiving data describing one or more entities determined from the scene, the one or more entities being determined from the scene, determining one or more actions based on the one or more entities, each action being provided at least partly based on search results from searching the one or more entities, and providing instructions to display an action interface comprising one or more action elements, each action element being to induce execution of a respective action, the action interface being displayed in a viewfinder.