Fixed Wireless Test Tags for Object Tracking Accuracy Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing RF tag-based object tracking systems for sports environments require expert knowledge, are labor-intensive to install and calibrate, and struggle with sub-optimal performance due to static receiver configurations that fail to adapt to dynamic environmental and situational changes, leading to potential catastrophic failures during critical events like 'Game Day'.
Innovation Solution
Implementing self-configurable tracking tags, trackable protection pads, data replay tools, receiver modifications, and automated installation and calibration systems to optimize performance dynamically, including adjustable ping rates, filter settings, and receiver orientations based on real-time conditions and tag locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual installation and calibration processes are used with expert knowledge, then system configuration accuracy is improved, but installation time and labor intensity increase significantly
Solution Approach 1:
The system performs automatic self-calibration by having tracked objects traverse calibration paths and automatically computing receiver orientations and coverage areas based on the collected location data, eliminating the need for manual expert calibration while maintaining high accuracy
Solution Approach 2:
The system pre-configures multiple receivers with predetermined orientations before the calibration process begins, allowing the automatic calibration algorithm to select and optimize from these pre-established configurations based on the actual environmental conditions observed during calibration
2Device complexity
If static receiver configurations are used, then system simplicity is maintained, but adaptability to dynamic environmental changes deteriorates
Solution Approach 1:
The system dynamically adjusts receiver configurations by continuously monitoring location data quality and automatically reorienting receivers or adjusting their coverage parameters in response to changing environmental conditions, object distributions, and tracking performance requirements
Solution Approach 2:
The system uses feedback from continuous location data collection and accuracy monitoring to automatically adjust receiver orientations and configurations, creating a closed-loop system that adapts to environmental changes while maintaining tracking performance
3Manufacturing precision
If iterative manual adjustment processes are used for receiver orientation, then coverage optimization is improved, but labor intensity and inconsistency increase
Solution Approach 1:
The system automatically computes optimal receiver orientations and coverage areas by processing location data collected during calibration paths, eliminating the need for manual iterative adjustments and ensuring consistent, reproducible results across different installations
Solution Approach 2:
The system replaces manual mechanical adjustment of receiver orientations with automated computational algorithms that calculate optimal configurations based on collected location data, substituting human expertise and physical adjustment with automated processing
4Manufacturing precision
If expert knowledge is required for system installation and calibration, then calibration accuracy is improved, but system accessibility and ease of deployment deteriorate
Solution Approach 1:
The system performs automatic self-calibration using algorithms that process location data from tracked objects traversing calibration paths, eliminating the need for expert knowledge while maintaining high calibration accuracy through automated computation and optimization
Solution Approach 2:
The system incorporates pre-programmed calibration algorithms and procedures that guide the automatic calibration process, allowing non-experts to deploy the system by simply following predefined steps while the automated algorithms handle the complex optimization and computation
Data Source
AI summary
A method for monitoring the location accuracy of an object tracking system includes receiving, from the object tracking system, a recorded position of a wireless test tag installed at a fixed position. This fixed position may be accurately determined without the tracking system, for example, using a laser measurement device. The method includes determining a positioning error of the tracking system by comparing the recorded position, as measured with the tracking system, to the fixed position. The method also includes outputting, in response to the positioning error exceeding a threshold, an indication that the tracking system has reduced accuracy. The method may be extended to several test tags located at several fixed positions throughout the operating area of the tracking system, in which case the indication of reduced accuracy may be generated when any one or more of the test tags has a positioning error exceeding the threshold.