Adjustable RF Beacon Thresholds for Audience Location Accuracy
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Solution Overview
Problem
Existing audience monitoring technologies provide inaccurate location data for audience members in media presentation environments, requiring significant capital expenditure and being burdensome for panelists to set up and use.
Innovation Solution
Implementing adjustable signal strength thresholds using RF beacons to detect and locate wireless devices within monitoring environments, allowing for tailored detection areas based on irregularly shaped monitoring areas, reducing setup burden and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing audience monitoring technologies are used to locate audience members, then location data can be obtained, but the accuracy of location data is poor and capital expenditure is significant
Solution Approach 1:
The patent adjusts signal strength thresholds dynamically based on monitoring area characteristics (size, shape, beacon density) to optimize detection accuracy. By changing the threshold parameter according to different monitoring scenarios, the system achieves high location accuracy without requiring expensive infrastructure upgrades.
Solution Approach 2:
The patent replaces complex mechanical or hardware-based monitoring systems with a software-driven approach using RF signal analysis. Instead of deploying expensive physical tracking infrastructure, the system uses wireless device signal strength measurements processed by a central facility to determine audience locations, significantly reducing capital expenditure.
2Reliability
If existing audience monitoring technologies are used, then location information can be collected, but the setup process is burdensome for panelists
Solution Approach 1:
The system automatically collects monitoring area information (dimensions, beacon locations) and configures optimal signal strength thresholds without requiring manual setup by panelists. The central facility performs automated calculations and adjustments, making the system self-configuring and eliminating burdensome setup procedures while maintaining reliable location data collection.
Solution Approach 2:
The patent pre-calculates and stores monitoring area characteristics and beacon configurations before actual audience monitoring begins. By performing preliminary setup actions automatically, the system eliminates the need for manual configuration during deployment, reducing panelist burden while ensuring reliable operation from the start.
3Adaptability or versatility
If fixed signal strength thresholds are used for RF beacon detection, then detection area is uniform, but irregularly shaped monitoring areas cannot be accurately covered
Solution Approach 1:
The patent implements dynamic signal strength thresholds that adjust based on the specific characteristics of irregularly shaped monitoring areas. Instead of using fixed thresholds, the system calculates and applies variable thresholds that adapt to the geometry and beacon distribution, enabling accurate detection coverage for non-uniform monitoring zones while maintaining high measurement precision.
Solution Approach 2:
The system applies different signal strength thresholds to different regions or beacons within the monitoring area based on local characteristics. Each RF beacon's detection threshold is customized according to its specific position, the local area geometry, and surrounding conditions, allowing accurate coverage of irregular shapes by treating each location with locally optimized parameters.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy and reliability of audience location data while minimizing implementation costs and user burden, enabling more precise determination of unique audience sizes and locations.
Implementation Method 1
The techniques discussed herein generally relate to adjusting ones or more signal strength thresholds corresponding to ones or more radio frequency (RF) beacons implemented at a monitoring environment
Data Source
AI summary
In one example, a method is described. The method includes: collecting monitoring area information for a monitoring environment, determining, based on the monitoring area information, one or more signal strength thresholds to set for one or more radio frequency (RF) beacons deployed to the monitoring environment and, after reception of monitoring information from one or more devices in the monitoring environment, processing the monitoring information and the one or more signal strength thresholds to determine one or more locations of the one or more devices in the monitoring environment. The method can further include storing the one or more locations of the one or more devices in a location database.