RF Tag Tracking Error Visualization and Receiver Sensitivity Analysis
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Solution Overview
Problem
The installation, configuration, and calibration of RF tag-based object tracking systems in sports environments are labor-intensive, require expert knowledge, and result in inconsistent and potentially suboptimal performance due to the manual adjustment processes and lack of visualization tools for error identification.
Innovation Solution
A software-based optimization method that displays errors in the tracking system by plotting symbols and vectors on a graphical representation of the tracking area, allowing for the visualization of receiver sensitivity and coverage, facilitating interactive adjustment of receiver positions and orientations for improved performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual adjustment and analysis process is used for receiver calibration, then system can be installed without specialized equipment, but installation time and labor requirements increase significantly
Solution Approach 1:
The patent replaces manual mechanical adjustment processes with automated computer-based visualization and analysis tools. The system automatically processes location data, generates graphical displays showing receiver coverage and tracking errors, and provides feedback for optimization, eliminating the need for manual eye-based aiming and iterative path testing.
Solution Approach 2:
The patent creates visual copies and representations of the tracking system's performance through graphical displays. These displays include symbols representing locates, vectors indicating errors, and coverage maps that replicate the spatial relationships and performance characteristics, allowing technicians to analyze system performance visually without physical presentment.
2Reliability
If expert knowledge is required for system calibration, then system performance can be optimized, but installation consistency varies between different technicians
Solution Approach 1:
The patent implements automated feedback mechanisms where the computer system processes tracking data and generates visual feedback displays showing coverage gaps, tracking errors, and optimization opportunities. This standardized feedback loop replaces variable human expert judgment with consistent algorithmic analysis, ensuring uniform calibration quality across different installations.
Solution Approach 2:
The system enables self-service calibration where technicians can independently perform optimization using the automated tools without requiring external expert intervention. The computer-based system provides all necessary guidance and visualization, allowing any technician to achieve consistent results without relying on individual expert knowledge.
3Measurement precision
If multiple iterative paths are tested manually, then receiver coverage can be evaluated, but the calibration process becomes labor intensive and incremental
Solution Approach 1:
The patent replaces manual data collection and analysis across multiple test paths with automated computer-based processing. The system automatically processes location data from receivers, generates comprehensive coverage visualizations, and identifies optimization opportunities in a single integrated workflow, eliminating the need for multiple manual iterative testing cycles.
Solution Approach 2:
The patent transforms the calibration process by adding a visual dimension to the analysis. Instead of relying on numerical data from multiple test paths, the system creates two-dimensional graphical displays showing receiver coverage, tracking errors, and optimization targets, allowing comprehensive evaluation in a single visual overview rather than through multiple incremental tests.
4Device complexity
If manual analysis of location data is performed, then system can operate with basic equipment, but error detection capability is limited and requires expert interpretation
Solution Approach 1:
The patent creates visual copies of tracking errors and system performance through graphical displays. Vectors are drawn to represent locate errors, symbols indicate tracking quality, and coverage maps show receiver performance. These visual representations make errors immediately apparent without requiring expert interpretation of raw numerical data.
Solution Approach 2:
The patent uses visual differentiation in the graphical displays to indicate various error conditions and performance levels. Different symbols, vectors, and visual elements represent different types and magnitudes of errors, allowing technicians to quickly identify and categorize issues without specialized knowledge of the underlying tracking algorithms.
Data Source
AI summary
A method and software product display errors of a tracking system that utilizes a plurality of receivers positioned around a tracking area to receive pings periodically transmitted by a tracking tag within the tracking area. For each locate received from the tracking system, a symbol indicative of the locate is plotted on a display graphically depicting the tracking area. A vector connecting each pair of chronologically consecutive symbols is plotted on the display, the vector visually indicating an error within the locates that would otherwise not be visible on the display. Another method concurrently displays predicted sensitivity for each of at least two receivers of a tracking system that locates tracking tags within a tracking area, the receivers being positioned within a surrounding area of the tracking area. A graphical representation of the surrounding area, the tracking area, and receiver sensitivities indicate the predicted receiver coverage of the tracking area.