AR Tracking System for Data Center Overlay Accuracy
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Solution Overview
Problem
Augmented reality (AR) location identification in IT environments, such as data centers, faces challenges due to AR drift caused by insufficient AR targets and weak tracking methods, leading to inaccurate projection of AR overlays.
Innovation Solution
Implementing a system and method that uses a plurality of AR tracking methods to recognize common and unique AR targets, continuously records their coordinates in a database, and employs simultaneous localization and mapping (SLAM) to create a robust catalog for accurate AR overlay projection, even when the field of view is limited.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single AR tracking method is used, then the device complexity is reduced, but the measurement precision and reliability of AR target identification deteriorate due to AR drift
Solution Approach 1:
The patent combines multiple AR tracking methods (visual markers, SLAM, and other tracking techniques) into a unified system that works together to identify and track AR targets. This merging of multiple tracking approaches allows the system to maintain high measurement precision and reliability while avoiding AR drift, resolving the contradiction between system complexity and tracking accuracy.
Solution Approach 2:
The AR tracking system is designed to perform multiple tracking functions simultaneously using different methods. The system can switch between or combine visual marker tracking, SLAM-based tracking, and other methods depending on the environment and requirements, making the system universally applicable while maintaining high precision across different scenarios.
2Reliability
If multiple AR tracking methods are implemented, then the reliability of AR target identification is improved, but the device complexity increases
Solution Approach 1:
The system dynamically selects and switches between different tracking methods based on environmental conditions and target availability. Rather than rigidly implementing all tracking methods simultaneously, the system adapts its tracking approach in real-time, maintaining high reliability while managing complexity through intelligent resource allocation and method selection.
Solution Approach 2:
The system incorporates feedback mechanisms that continuously monitor the performance and reliability of different tracking methods. Based on this feedback, the system adjusts which tracking methods are active and how they are weighted, ensuring optimal reliability while preventing unnecessary complexity from being introduced when certain methods are not needed or performing poorly.
Data Source
AI summary
A method for performing an augmented reality location operation. The augmented reality location operation includes: configuring an augmented reality device to perform a plurality of augmented reality tracking methods; identifying a unique augmented reality target via at least one of the plurality of augmented reality tracking methods; associating a position with the unique augmented reality target; and, determining a relative position of another augmented reality target from the unique augmented reality target.