Dynamic Symbol Detection in Augmented Reality Systems

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Solution Overview

Problem

Current augmented reality systems face challenges in effectively generating and detecting dynamic symbols that change over time, which are essential for providing real-time augmented data to users, especially in environments where static symbols may be difficult to recognize at a distance or in low-light conditions.

Innovation Solution

The implementation of a media system comprising a source system that generates dynamic symbols, such as changing light patterns, and a consumption system capable of detecting these symbols using pattern recognition methods, allowing for the provision of augmented data to users through visual and audio content.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If static symbols are used in augmented reality systems, then the system complexity is reduced, but the recognition distance and speed are insufficient especially in low-light conditions

Engineering Contradiction:
Improvesymbol recognition distance and speedVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies dynamics by transitioning from static symbols to dynamic symbols that change over time. The symbol generation system creates symbols that vary in their characteristics (such as color, pattern, or intensity) dynamically, enabling better recognition at distances and in low-light conditions while maintaining manageable system complexity through structured dynamic behavior patterns.

Inventive Principle:
Principle #15Dynamics

2Reliability

If dynamic symbols are used to enhance recognition, then the recognition capability in low-light conditions improves, but the computational power requirements increase

Engineering Contradiction:
Improvesymbol detection reliability in low-light conditionsVSAvoidcomputational power requirements
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent employs periodic action by implementing dynamic symbols that change in a structured, periodic manner. The symbol characteristics vary according to defined patterns or sequences, which allows the detection system to anticipate and recognize the symbols more efficiently, thereby improving detection reliability in low-light conditions while controlling computational requirements through predictable temporal patterns.

Inventive Principle:
Principle #19Periodic action

3Productivity

If real-time augmented reality data is provided, then the user experience is enhanced, but the processing speed and computational load increase

Engineering Contradiction:
Improvereal-time data provision capabilityVSAvoidprocessing power requirements
Core Design Contradiction:
ProductivityVSPower

Solution Approach 1:

The patent applies preliminary action by pre-defining the patterns and characteristics of dynamic symbols before they are needed. The symbol generation system prepares and structures the dynamic behavior parameters in advance, allowing the detection and processing systems to operate more efficiently in real-time without requiring excessive computational power during actual symbol detection and augmented reality data provision.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS9158777B2Augmented reality methods and apparatus
Publication Date: 2015.10.13 GRAVITY JACK
  • US9158777B2 patent drawing
  • US9158777B2 patent drawing
  • US9158777B2 patent drawing

AI summary

Augmented reality methods and apparatus are described according to some aspects of the disclosure. In one aspect, a method of experiencing augmented data includes using a source system, emitting a dynamic symbol which changes over time, using a consumption system, receiving the emission of the source system, using the consumption system, analyzing the emission which was received by the consumption system to determine whether the dynamic symbol is present in the emission, and using the consumption system, generating a representation of augmented data to be consumed by a user of the consumption system as a result of the analyzing determining that the dynamically changing symbol is present in the emission of the source system.