Wireless Access Point Proxies for Indirect Interaction Detection
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Solution Overview
Problem
Current monitoring technologies cannot identify or track interactions between monitored individuals and unmonitored individuals, as they do not detect indirect communications facilitated by unmonitored intermediaries, leading to potential undetected exchanges of items or information.
Innovation Solution
The monitoring devices detect proximate wireless access points, such as Wi-Fi or Bluetooth signals from unmonitored individuals, to identify instances where monitored individuals interact through these intermediaries by correlating overlapping access point encounters, using signal strength and other parameters to differentiate between high-priority and coincidental encounters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If monitoring devices track only direct physical proximity between monitored individuals, then the system is simple and computationally efficient, but it fails to detect indirect interactions through unmonitored intermediaries
Solution Approach 1:
The patent introduces wireless access points as intermediary objects that mediate between monitored individuals and unmonitored intermediaries. Instead of directly tracking interactions between monitored individuals, the system uses WAPs as proxies to infer indirect interactions. When multiple monitored individuals encounter the same WAP within a time window, it suggests they interacted through an unmonitored intermediary, resolving the contradiction by detecting indirect interactions without requiring direct monitoring of all parties.
2Reliability
If the system monitors all possible interactions including indirect ones, then detection accuracy improves, but computational resources and processing time increase significantly
Solution Approach 1:
The patent extracts the monitoring focus from tracking all individual interactions to monitoring environmental proxies (wireless access points). Instead of analyzing complex interaction networks between all monitored individuals, the system extracts and monitors WAP encounters as simplified proxies. This extraction reduces computational complexity while maintaining detection capability, as WAP encounters serve as condensed representations of potential indirect interactions.
Solution Approach 2:
The system performs preliminary action by monitoring and logging wireless access point encounters in advance, storing them as intermediate data structures. These pre-processed WAP encounter records serve as ready-to-analyze evidence that can be quickly queried to detect indirect interactions, avoiding the need for computationally intensive real-time analysis of all possible interaction combinations between monitored individuals.
3Reliability
If the system uses wireless access point detection to identify indirect interactions, then it can detect interactions through unmonitored intermediaries, but it may generate false positives from coincidental encounters
Solution Approach 1:
The patent applies dynamics by making the detection parameters adaptive rather than fixed. The system dynamically adjusts the time window threshold and signal strength requirements based on environmental context and historical data. This dynamic approach allows the system to distinguish between meaningful indirect interactions and coincidental encounters by adapting its sensitivity to the specific monitoring context, reducing false positives while maintaining detection accuracy.
Data Source
AI summary
A method and system for detecting interaction between monitored individuals and unmonitored individuals is provided. The method includes at each monitored individual: identifying a short range wireless access point that is proximate to the monitored individual; first determining the location of the monitored individual when the identified short range wireless access point was detected; and uploading, from the monitored individual to a central monitoring location, data corresponding to the identified short range wireless access point and the location of the monitored individual when the short range wireless access point was detected. The method include at the central monitoring location: second determining whether: (a) the identified short range wireless access point is a mobile wireless access point; and (b) two or more of the monitored individuals encountered the identified short range wireless access point.