RFID Object Recognition Database for Asset Tracking
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Solution Overview
Problem
There is a need to effectively manage and track valuable tools and equipment in both private households and professional settings, as they often become lost or forgotten due to lack of organization and tracking systems.
Innovation Solution
A method is developed to create and manage a database of meta-data sets for objects using RFID tags, which includes identifying, collecting, and storing meta-data such as 2D/3D pictures, location coordinates, material, functional values, and other attributes, allowing for efficient object recognition and localization through an integrated platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RFID tags and meta-data database are implemented for object tracking, then object localization and management control are improved, but device complexity and implementation cost increase
Solution Approach 1:
The patent introduces RFID tags as intermediary devices attached to objects and a centralized database as a mediator to store and manage meta-data. The RFID tags enable automatic identification and tracking without direct human intervention, while the database serves as an intermediary layer between the physical objects and the user interface, resolving the contradiction by automating the tracking process through these intermediary components.
Solution Approach 2:
The patent replaces manual tracking and inventory management mechanisms with RFID-based automatic detection and database-driven information management. Instead of mechanical or manual methods for locating and tracking objects, the system uses electromagnetic fields (RFID) and digital data storage, reducing the need for physical intervention and improving reliability while managing complexity through digital automation.
2Loss of information
If comprehensive meta-data is collected and stored for each object, then information completeness and management capability are improved, but data storage requirements and processing complexity increase
Solution Approach 1:
The patent extracts only the essential meta-data attributes needed for effective object management and tracking, such as identification information, location coordinates, and key characteristics. By selecting and storing only the most relevant data elements rather than all possible information, the system maintains information completeness for management purposes while minimizing data storage requirements and processing complexity.
3Measurement precision
If RFID tags are attached to all valuable objects, then object identification accuracy is improved, but implementation time and labor requirements increase
Solution Approach 1:
The patent enables the RFID tagging system to be self-servicing through automatic detection and data collection capabilities. Once RFID tags are attached to objects, the system automatically reads tag information, collects meta-data, and updates the database without requiring manual intervention for each object. This self-service approach maintains high identification accuracy while significantly reducing the time and labor needed for ongoing object management.
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
This solution enables improved control and management of assets by allowing users to easily locate and track objects, update information, and determine warranty periods, among other functionalities, enhancing asset management and visibility.
Implementation Method 1
radio-frequency identification (RFID) tags... RFID for object recognition and localization services
Data Source
AI summary
A method of creating and managing a database of meta_data sets for a plurality of objects is provided. The meta-data set is configured to characterize an object. The meta_data set for a “j”-object is selected from the group consisting of: a first item; a second item; an “i”-th item; and ID-j tag; wherein “i” and “j” being integers. The method comprises: (A) identifying a meta_data set for at least one object; (B) collecting a meta_data set for at least one object; (C) creating the database of meta_data sets for the plurality of objects; (D) storing the database of meta_data sets for the plurality of objects; and (E) accessing the database of meta_data sets for the plurality of objects.