AR Guide Generation Using Real-World Scene Recognition

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing augmented reality (AR) devices struggle to provide effective contextual guides that adapt to real-world environments, failing to seamlessly integrate virtual and real-world objects in a manner that enhances user understanding and interaction.

Innovation Solution

An AR device that includes a camera, display unit, memory, and processor to identify actions, generate real-world scene images, and provide augmented reality videos tailored to user actions, using AI models for object recognition and natural language processing to create adaptive guides.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional text-based or visual imitation methods are used for guidance, then device complexity is reduced, but the adaptability to real-world environments and user actions deteriorates

Engineering Contradiction:
Improveadaptability to real-world environmentsVSAvoiddevice complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The AR device integrates multiple functions including camera capture, AI model execution, augmented reality video generation, and guide provision into a single system. This multi-functional integration enables the device to adapt to various real-world environments and user actions while maintaining a unified device structure, resolving the contradiction between adaptability and device complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent introduces an AI model as an intermediary that processes real-world scene images and identifies user actions, enabling the system to adapt to different environments without requiring complex reconfiguration. The AI model acts as a mediator between the camera input and the guide generation, simplifying the overall system architecture while enhancing adaptability.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of information

If AR devices overlay virtual objects onto real-world environment, then user interaction is enhanced, but the seamless integration and contextual understanding deteriorates

Engineering Contradiction:
Improvecontextual understandingVSAvoidseamless integration
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The system captures real-world scene images through the camera, processes them through AI models to identify user actions, and generates contextual guides based on this feedback loop. This continuous feedback mechanism ensures that the virtual overlays are precisely aligned with the user's current context and actions, improving both contextual understanding and seamless integration.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent executes AI models to pre-process and understand the real-world scene before generating the augmented reality video. This preliminary action of analyzing the environment and user actions in advance ensures that the virtual objects are seamlessly integrated with appropriate contextual understanding, resolving the contradiction between information loss and ease of operation.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20260094435A1Method and device for providing guide using augmented reality image
Publication Date: 2026.04.02 SAMSUNG ELECTRONICS CO LTD
  • US20260094435A1 patent drawing
  • US20260094435A1 patent drawing
  • US20260094435A1 patent drawing

AI summary

Provided is a method, performed by an augmented reality device, of providing a guide to a user. A method of operating an augmented reality device may include identifying an action for which a guide is to be provided; obtaining, via a camera, a real-world scene image; generating, based on the real-world scene image, an augmented reality video corresponding to the action; and providing the guide using the augmented reality video.