Unified User Equipment Tracking System with Wi-Fi and Image Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing tracking systems for user equipment across various business segments and locations are inefficient, leading to poor user data integration and analytics, which results in inadequate identification and tracking of valued users, causing user dissatisfaction.
Innovation Solution
A system and method utilizing a processor to identify user equipment within predefined location coordinates using Wi-Fi and image recognition techniques, determining precise locations, and integrating with entity and user equipment databases for improved tracking and identification across business entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional fragmented user data analytics systems are used, then system complexity is reduced, but tracking precision and user identification accuracy deteriorate
Solution Approach 1:
The patent combines multiple tracking technologies (GPS, Wi-Fi, cellular tower triangulation, RFID) and data sources (user profiles, transaction histories, real-time location data) into a unified tracking system. This integration enables comprehensive user equipment identification across multiple business segments and locations, resolving the contradiction by merging fragmented systems into a cohesive platform that maintains precision while managing complexity through standardized data processing protocols
2Adaptability or versatility
If location tracking is limited to specific stores only, then system complexity is reduced, but tracking coverage and user identification capability deteriorate
Solution Approach 1:
The tracking system is designed to operate universally across diverse environments including retail stores, warehouses, distribution centers, and mobile locations. The system adapts to different business segments (retail, logistics, healthcare) by configuring appropriate tracking methods for each location type, enabling broad coverage while maintaining manageable complexity through modular architecture that allows selective activation of tracking features based on business needs
3Measurement precision
If multiple tracking techniques are implemented, then tracking accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system implements a hierarchical tracking approach where less precise but faster methods (GPS, cellular triangulation) provide initial location estimates, and more precise methods (Wi-Fi positioning, RFID) are selectively applied only when higher accuracy is needed or when the user equipment is within specific zones of interest. This partial application of comprehensive tracking techniques reduces processing time while maintaining sufficient accuracy for most use cases
4Reliability
If comprehensive user data integration is implemented, then user identification accuracy is improved, but data processing complexity and storage requirements increase
Solution Approach 1:
User data is segmented into distinct categories (personal information, transaction histories, location data, preferences) and stored in separate data modules or databases. The tracking system queries and integrates only the specific data segments needed for particular tracking and identification tasks, rather than processing entire user profiles. This segmentation reduces data integration complexity while maintaining identification accuracy by providing targeted data access
Data Source
AI summary
A system and method for tracking and identifying user equipment(s) is provided. The present invention provides for determining if a user store location is included within a list of stores associated with the business entity. Further, the present invention provides for determining the user equipment location within a predefined range of one or more stores associated with the business entity. The invention further provides for identifying a target user equipment based on one or more parameters if the user equipment location is same as one of the store locations associated with the business entity. The target user equipment is representative of a user equipment associated with a valued user. The identification of the target user equipment triggers, at least one of a Wi-Fi based technique and an image recognition technique to determine precise location of the target user equipment within the store.