Augmented Reality Label Recognition for Device Service
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Solution Overview
Problem
Users often face difficulties in identifying and accessing repair and service information for devices due to variations in make, model, and serial numbers, especially as manufacturing techniques change over time, and this information is typically inconspicuously located on the device.
Innovation Solution
An augmented reality system using smartphones and tablets equipped with cameras and natural language processing (NLP) to capture and analyze images of identification labels, extract metadata, and connect users with service professionals or retrieve relevant information from databases and online resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Shape
If identification labels are placed inconspicuously on devices, then device appearance is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The patent introduces an augmented reality intermediary layer that overlays digital information onto the physical device. The system uses a camera to capture images of the device, then superimposes identification labels, repair information, and service data onto the augmented reality view, making inconspicuously placed labels easily detectable without altering the device's physical appearance.
2Adaptability or versatility
If manufacturing techniques vary over time, then device model diversity increases, but loss of information increases
Solution Approach 1:
The patent creates a universal information retrieval system that works across diverse device models and manufacturers. The augmented reality platform aggregates repair information, service manuals, and identification data from multiple sources into a single accessible interface, allowing users to obtain relevant information for any device model through image capture and automated recognition.
3Productivity
If optical character recognition is used to detect text, then information retrieval speed is improved, but measurement precision deteriorates
Solution Approach 1:
The system implements feedback mechanisms where the augmented reality overlay displays detected text and identification information for user verification. Users can interact with the system to confirm or correct detected data, and the system learns from user corrections to improve future detection accuracy, balancing speed with precision through iterative refinement.
Data Source
AI summary
Methods and systems disclosed herein are directed to detection and recognition of items of data on labels applied to equipment and identifying metadata labels for the items of data using NLP. Embodiments may include identifying one or more items of data on an image of a label associated with a piece of equipment, determining, using NLP on the one or more items of data of the image, one or more metadata associated, respectively, with the identified one or more items of data, and outputting at least one of the one or more metadata and associated items of data.


