Geofence-Based Object Identification in Extended Reality
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Solution Overview
Problem
In large industrial environments, technicians face challenges in efficiently locating and accessing machines that are operating outside of their normal operating range, leading to increased costs and potential damage due to the time-consuming process of finding these machines.
Innovation Solution
A mobile device equipped with a camera and extended reality software is used to identify machines within a geofence by acquiring sensor data, determining object identifiers, and presenting relevant data as extended reality overlays, allowing for efficient identification and monitoring of machines in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If technicians manually locate machines in large industrial environments, then they can access machine information, but the time required to locate machines increases significantly
Solution Approach 1:
The patent replaces manual mechanical location methods with an automated system using mobile devices, cameras, and image recognition technology. The system automatically captures images of machines, identifies them through pattern recognition, and retrieves relevant information, eliminating the need for technicians to physically search for and manually record machine locations and details.
Solution Approach 2:
The system enables self-service by allowing the mobile device to automatically perform machine identification and information retrieval without requiring technician intervention for each step. The image recognition system autonomously identifies machines, and the system automatically queries and displays relevant maintenance and operational information.
2Reliability
If technicians spend more time locating machines, then they can service them accurately, but operational costs and potential damage increase
Solution Approach 1:
The system performs preliminary actions by pre-capturing and storing machine information, images, and maintenance records in advance. When a machine needs servicing, the system quickly retrieves pre-prepared information rather than requiring technicians to gather data on-site, reducing both time and costs while maintaining accuracy.
3Ease of operation
If manual machine identification methods are used, then simple information can be obtained, but the process becomes time-consuming and inefficient
Solution Approach 1:
The patent replaces manual identification processes with automated image recognition and data retrieval systems. The mobile device with camera automatically captures machine images, the system processes these images to identify machines, and retrieves relevant information from databases, maintaining simplicity while dramatically reducing time requirements.
Data Source
AI summary
A mobile device that includes a camera and an extended reality software application program is employed by a user in an operating environment, such as an industrial environment. One or more objects within a geofence may be identified. A device crosses within the geofence and acquires sensor data associated with an object within the geofence. The sensor data may include image data and/or audio data. The device or a server system may then determine an object identifier associated with the object based on a comparison of the sensor data with data associated with object identifiers corresponding to objects within the geofence. Based on the object identifier, data associated with the object are obtained. The data associated with the object may be presented via the device, such as an extended reality overlay over a view of the object in the device.