AR Remote Assistance Latency Compensation
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Solution Overview
Problem
Current remote assistance systems for complex machinery maintenance are hindered by high communication latency and the inability to effectively coordinate multiple experts supporting in-situ technicians, leading to inefficient and costly servicing operations.
Innovation Solution
A centralized communication system that uses high-efficiency video compression and augmented reality to create a virtual team of geographically distributed experts and technicians, compensating for end-to-end latency through real-time position sampling and transformation matrices, allowing multiple experts to assist in-situ technicians with accurate and timely guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If high-quality video and data streams are exchanged between technician and expert, then communication quality is improved, but network latency increases and system complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-processing video data through compression before transmission, and by establishing prediction models for technician head position and AR object positions before actual communication occurs. This reduces the amount of data that needs to be transmitted in real-time and allows for compensation of latency effects without waiting for actual communication delays to manifest.
Solution Approach 2:
The system dynamically adjusts AR object positions based on real-time technician head position data and dynamically compensates for latency by continuously updating position predictions. The AR objects move and transform in real-time to maintain accurate spatial correspondence despite varying network conditions and latency.
2Adaptability or versatility
If multiple experts support in-situ technicians concurrently from different locations, then technical assistance capability is improved, but system complexity and coordination difficulty increase
Solution Approach 1:
The system segments the expert support function by allowing each expert to independently annotate and interact with the same AR space from their respective locations. Each expert's contributions are divided into separate annotation layers that can be independently managed and displayed, reducing coordination complexity while maintaining multi-expert capability.
Solution Approach 2:
The system adds a spatial dimension to expert collaboration by using augmented reality to create a shared virtual workspace that exists in 3D space. Experts interact with technical objects from different spatial perspectives, and their annotations are positioned in three-dimensional space relative to the actual machinery, allowing concurrent support without direct coordination overhead.
3Device complexity
If AR information is transmitted in real-time without latency compensation, then system simplicity is maintained, but AR object position accuracy deteriorates
Solution Approach 1:
The system implements feedback by continuously monitoring technician head position and using this information to adjust AR object positions. The system receives feedback about actual head position from tracking sensors and uses this feedback to compensate for latency-induced position errors, maintaining accurate AR object placement despite communication delays.
Solution Approach 2:
The system replaces direct real-time mechanical transmission of AR position data with a computational approach using prediction models and transformation matrices. Instead of relying on instantaneous data transmission, the system uses mathematical models to predict and compensate for position drift caused by latency, substituting computational correction for direct real-time coupling.
Data Source
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AI summary
A virtual community communication system where two or more technicians carry or access an Augmented Reality (AR)-enhanced apparatus to communicate and exchange, over a LAN or the Internet, information regarding assembly or servicing or maintenance operations performed on complex machinery. Data streams exchange between the peers of the virtual community is performed by means of a centralised server. Various arrangements are presented that can be selected based on the needs of the operation to be performed, such as the number of members of the community and the type of communication equipment. The system is applicable to any application of the virtual community communication system and is optimized for application to industrial machinery. An explicit mechanism for the reduction and compensation of end-to-end communication latency is provided.