RFID Object Tracking System with Contextual Identity Correlation
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Solution Overview
Problem
Conventional organization and labeling systems for physical objects in residences are tedious and time-intensive, making it difficult to locate specific items among thousands of objects.
Innovation Solution
An object tracking system using a server-client environment with RFID tags and a server system that determines the identity and location of tagged objects based on contextual information from cameras, microphones, and tag readers, correlating this data to store and update the location of physical objects in a tracking table.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual organization and labeling systems are used for physical objects, then implementation is simple and direct, but the process becomes tedious and time-intensive for large numbers of items
Solution Approach 1:
The system employs RFID tags that automatically identify and track physical objects without requiring manual data entry or labeling. Objects are tagged and tracked autonomously through wireless communication between tags, readers, and the server system, eliminating the tedious manual organization process while maintaining simplicity of deployment
Solution Approach 2:
The patent replaces manual mechanical labeling processes with an automated electronic tracking system using RFID technology. The server system automatically captures location data from multiple readers and correlates it with object identities, substituting human labor with electronic automation to reduce time consumption while keeping implementation straightforward
2Productivity
If automated tracking systems are implemented, then object location efficiency is improved, but system complexity increases
Solution Approach 1:
The system divides the tracking functionality into separate components: RFID tags attached to objects, wireless readers positioned throughout the space, and a central server system for data processing. This segmentation allows each component to perform its specific function independently, improving location efficiency while managing overall system complexity through modular architecture
Solution Approach 2:
The server system performs multiple functions including receiving data from multiple readers, determining object locations through triangulation, maintaining tracking databases, and providing user interfaces. This multi-functionality consolidates complex operations into a single system that handles all tracking tasks, improving efficiency without proportionally increasing complexity
3Measurement precision
If multiple identifiable tags are used to track a single object, then tracking accuracy and location determination are improved, but data processing complexity increases
Solution Approach 1:
The server system acts as an intermediary that receives location data from multiple RFID readers, processes the information through triangulation algorithms, and determines precise object locations. This intermediary processing layer manages the complexity of handling multiple tag data streams while providing accurate location information to users through simplified interfaces
Data Source
AI summary
A controller device with one or more processors and memory determines an identity and a location of a tagged physical object based on contextual information received from one or more sources. The controller device determines locations for each of a plurality of identifiable tags with associated tag identifiers. The controller device correlates the identity of the tagged physical object with a first set of one or more identifiable tags from among the plurality of identifiable tags based on correspondence between the determined location of the tagged physical object and at least one determined location of the first set of identifiable tags. The controller device stores the at least one determined location of the first set of identifiable tags, tag identifiers of the first set identifiable tags, and the identity of the tagged physical object in a physical object tracking table.