AR Network Visualization for Device Placement Optimization
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Solution Overview
Problem
Existing monitoring systems lack efficient methods for users to visualize and optimize network connectivity during the installation and maintenance of devices within a property, relying on trial and error rather than real-time data visualization.
Innovation Solution
An augmented reality (AR) system that generates and displays visualizations of network connectivity data, using object recognition and real-time monitoring to provide users with graphical and textual information about network signal strength, allowing for optimal device placement and configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If trial and error method is used for device placement, then device complexity is reduced, but installation time increases and productivity decreases
Solution Approach 1:
The system performs preliminary actions by pre-calculating optimal device placements and pre-visualizing network connectivity scenarios before actual installation occurs. Users can simulate different placement locations and view predicted network signal strength and connectivity diagrams in advance, allowing them to select optimal positions without needing to trial and error during installation.
Solution Approach 2:
The system provides real-time feedback to users during the installation process by displaying network connectivity diagrams, signal strength visualizations, and connectivity status information. This immediate feedback allows users to adjust device placements dynamically based on actual network performance data, significantly reducing installation time compared to trial and error methods.
2Manufacturing precision
If real-time network connectivity visualization is provided, then installation accuracy is improved, but device complexity increases
Solution Approach 1:
The system introduces an intermediary layer in the form of a network connectivity visualization interface that mediates between the physical device placement and the network connectivity status. This intermediary displays simplified visual representations of network signal strength and connectivity diagrams, making complex network information accessible and easy to interpret for users during the installation process.
Solution Approach 2:
The system creates visual copies or representations of network connectivity status that can be displayed on screens or printed as diagrams. These visual copies show network signal strength, device connectivity status, and optimal placement recommendations, allowing users to understand complex network information without needing to directly analyze raw network data.
3Loss of information
If comprehensive monitoring data is displayed, then information completeness is improved, but ease of operation decreases
Solution Approach 1:
The system segments comprehensive network monitoring data into distinct, organized categories such as network signal strength, connectivity status, device location, and signal quality metrics. Each segment is presented through separate visualizations and diagrams, making the information easier to process and understand while maintaining completeness. Users can focus on specific aspects of network performance without being overwhelmed by a single monolithic data display.
Data Source
AI summary
In some implementations, techniques are described for generating and displaying visualizations that display information for an electronic device in a visual interface presented to a user by an augmented reality (AR) device. Video data collected by an augmented reality device is obtained. A device of a property is identified based on the video data. In response to identifying the device, a network status for the device is obtained. One or more visualizations representing the network status for the device are generated. The one or more visualizations are provided for display to a user by the augmented reality device.