Augmented Reality Annotation Interfaces for Context-Aware Measurement
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Solution Overview
Problem
Conventional augmented and virtual reality methods for annotating, measuring, and modeling environments are cumbersome, inefficient, and limited in functionality, often requiring manual specification of measurements, lacking guides for annotation, failing to track annotations, and not accounting for surface curvature, leading to energy wastage in battery-operated devices.
Innovation Solution
A computer system with improved user interfaces that automatically detect features, provide intelligent measurement and annotation guides, track annotations, and update views based on camera movement, allowing for efficient annotation and modeling with reduced user input and enhanced feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional augmented reality methods are used for annotating and measuring, then the basic functionality is provided, but the methods are cumbersome, inefficient, and require excessive manual user input
Solution Approach 1:
The system automatically detects features in the environment and performs measurements without requiring manual specification by the user. The annotation system automatically provides guides and updates based on the current context, eliminating the need for users to manually configure each annotation or measurement operation.
Solution Approach 2:
The system pre-provides annotation guides and measurement options based on the detected environment and current context before the user completes the annotation. This allows users to see available options and make selections more efficiently, rather than configuring everything manually during the annotation process.
2Productivity
If conventional augmented reality measurement methods are used, then basic measurements can be made, but the methods require users to specify the type of measurement, reducing efficiency
Solution Approach 1:
The system automatically determines the type of measurement to perform based on the detected physical feature and context, eliminating the need for users to manually specify measurement types. The system self-configures the measurement parameters based on environmental understanding.
3Adaptability or versatility
If conventional augmented reality annotation methods are used, then annotations can be added, but guides are provided in a static manner without considering current context
Solution Approach 1:
The annotation guides are dynamically updated based on the current annotation context and user actions. As the user progresses through annotation, the system adjusts the guides to reflect the current state, providing context-relevant information rather than static pre-defined guides.
Solution Approach 2:
The system continuously monitors the annotation progress and provides feedback through updated guides that reflect the current context. This feedback loop allows the system to adapt the guidance information based on what the user is currently doing, improving ease of operation.
4Loss of information
If conventional augmented reality annotation methods are used, then annotations can be made, but the system does not keep track of annotations, preventing efficient review
Solution Approach 1:
The system automatically tracks and stores annotation information as annotations are created, maintaining a record without requiring user intervention. This preliminary tracking action enables later review and management of annotations.
5Loss of information
If conventional augmented reality methods are used for modeling, then basic modeling can be performed, but the methods do not provide sufficient feedback about progress
Solution Approach 1:
The system provides continuous feedback about modeling progress by updating the augmented reality display to show the current state of the model and the progress of the scanning or modeling operation. This feedback mechanism keeps users informed without requiring complex separate monitoring systems.
6Adaptability or versatility
If conventional augmented reality methods are used, then annotations and measurements can be made, but the methods are limited to straight-line annotations that do not account for surface curvature
Solution Approach 1:
The annotation system is enhanced to work with curved surfaces by adapting the annotation geometry to follow the curvature of the detected physical surfaces. This allows annotations to accurately represent measurements on non-planar surfaces rather than forcing straight-line approximations.
7Use of energy by moving object
If conventional augmented reality methods are used in battery-operated devices, then the basic functions are provided, but the methods waste energy by taking longer than necessary
Solution Approach 1:
The system performs automatic feature detection and measurement configuration in advance, reducing the computational load during the actual annotation operation. This preliminary processing reduces the time the device needs to be active, thereby conserving battery power.
Solution Approach 2:
The system automatically manages the annotation process without requiring extended user interaction, reducing the time the device needs to remain active. This self-managing approach minimizes power consumption by completing operations more quickly.
Data Source
AI summary
A computer system displays an annotation placement user interface that includes a representation of a field of view of one or more cameras that is updated over time based on changes in the field of view, a placement user interface element indicating a virtual annotation placement location, and a session history user interface element. The system receives a set of inputs corresponding to a plurality of requests to annotate the representation of the field of view and, in response, adds first and second annotations to the representation of the field of view. After adding the first and second annotations, the system receives an input corresponding to activation of the session history user interface element and, in response, displays a list of annotations that includes the first and second annotations, including concurrently displaying a representation of the first annotation and a representation of the second annotation.