Concentrator Bridge for Precise Location and Identity in Crowded Spaces
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Solution Overview
Problem
Current location-based technologies, such as GPS, Wi-Fi, and similar systems, are inadequate for accurately identifying people or objects in crowded spaces, providing only rough location parameters that are insufficient for precise location and identification in real-world environments.
Innovation Solution
A system and method that combines location determination with identity parameters and presence information, using a converged services operator to provide high-resolution people location and identification services, along with location-based social networking, by aggregating data from various sources like Femtocells, Bluetooth, and Wi-Fi to determine the precise location and display identity and profile information on a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS, Wi-Fi, and similar technologies are used for location-based identification, then broad coverage and basic location tracking are achieved, but location precision and identification accuracy in crowded spaces deteriorate to 20-30 meters resolution which is insufficient for identifying people or objects
Solution Approach 1:
The system segments the location identification problem into multiple layers: coarse location provided by GPS/Wi-Fi and fine-grained identification provided by RFID tags and readers. This segmentation allows each component to operate at its optimal precision level while working together to achieve high-resolution location and identification in crowded spaces.
Solution Approach 2:
RFID tags and readers serve as intermediary devices between the coarse location systems (GPS/Wi-Fi) and the final identification goal. These intermediaries capture and transmit unique identifier data that bridges the gap between rough location parameters and precise object/person identification, enabling accurate tracking even when multiple entities occupy the same general location.
2Productivity
If traditional location-based services are used, then basic location tracking is provided, but the ability to quickly and precisely identify people or objects in crowded environments deteriorates
Solution Approach 1:
RFID tags are pre-attached to objects and individuals before they enter the tracking environment, and the system continuously reads and caches identification data in advance. This preliminary action ensures that when identification is needed, the system can quickly retrieve and process the data without delay, achieving both high speed and high accuracy in crowded spaces.
Solution Approach 2:
The system implements continuous feedback loops where RFID readers constantly scan for tags, verify identifications, and update location databases in real-time. This feedback mechanism ensures rapid detection and correction of identification errors, maintaining both high identification speed and accuracy even as objects and people move through crowded environments.
Data Source
AI summary
A method and a system for providing location and profile based system and services. A system may includes a plurality of data sources disposed within a network for providing location and identity information associated with objects disposed within the network and a concentrator bridge, operatively coupled to the plurality of data sources, the concentrator bridge including a receiver associated with each of the plurality of data sources, wherein the concentrator bridge receives location and profile data associated with the objects from the plurality of data sources and provides the identity and location of the objects disposed within the network for viewing on a user interface.