Augmented Reality Image Composition Guidance System
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Solution Overview
Problem
Modern electronic systems face challenges in effectively displaying relevant information and assistance to users, particularly in competitive markets, where existing technologies have not provided adequate solutions for improving user interaction and product differentiation.
Innovation Solution
An electronic system that scans images to detect subjects and recommends adjustments for composition, lighting, and size, using graphical overlays and text to guide users in improving their captures, by identifying potential adjustments and displaying augmentations on a device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional display methods are used in electronic systems, then device complexity is reduced, but the ability to provide relevant user assistance and information is insufficient
Solution Approach 1:
The system segments information delivery by detecting specific subjects (people, animals, objects) and providing targeted augmentations for each. The augmentation system is divided into multiple modules including subject detection, augmentation selection, and display control, allowing complex functionality to be broken into manageable components that work together to improve user assistance without overwhelming system complexity
Solution Approach 2:
The patent introduces an intermediary augmentation system that acts as a mediator between the camera capture and the user. This intermediary layer analyzes captured images, detects subjects, and provides guidance overlays that bridge the gap between raw camera functionality and user understanding, enabling adaptability without requiring direct complex user-system interaction
2Ease of operation
If real-time image analysis and augmentation are implemented, then user guidance quality is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-defining multiple types of augmentations (e.g., framing guides, lighting advice, subject distance indicators) that can be quickly applied once a subject is detected. Rather than generating guidance from scratch in real-time, the system has augmentation templates ready to be selected and applied, reducing processing time while maintaining high guidance quality
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously analyzes captured images, detects subjects, and provides real-time augmentation feedback to the user. This closed-loop feedback system processes images in real-time by using efficient subject detection algorithms and pre-prepared augmentation templates, balancing processing speed with comprehensive user guidance
3Loss of information
If multiple augmentation types are provided for different subjects, then information relevance is improved, but device complexity increases
Solution Approach 1:
The system applies local quality by providing different types of augmentations based on the specific subject detected (people, animals, objects). Each subject type receives tailored guidance - for example, people may receive framing and lighting advice, while objects may receive positioning guidance. This subject-specific approach ensures information relevance without requiring a single complex system, as each augmentation type is optimized for its specific use case
Solution Approach 2:
The patent implements universality by creating a multi-functional augmentation system that can handle multiple subject types (people, animals, objects) with a single integrated platform. The system uses a universal subject detection mechanism that identifies different categories, then applies appropriate augmentation templates from a shared library, enabling diverse information delivery through a unified system architecture that manages complexity
Data Source
AI summary
A method of operation of an electronic system includes: scanning an image for detecting a subject; detecting a potential adjustment for moving the subject within the image; and selecting an augmentation for recommending the potential adjustment and for displaying the augmentation on a device.