Cloud-Connected Transponder Application Routing
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Solution Overview
Problem
Conventional RFID systems face limitations in determining the appropriate application for processing RFID tag data, especially when multiple applications are installed on a device and the first record read is a URL, leading to incorrect routing decisions due to the physical locking of RFID tags and the inability to consider contextual factors.
Innovation Solution
The implementation of a system that virtualizes the storage format on RFID transponders based on various factors such as location, environmental conditions, and temporal factors, allowing for dynamic generation of the RFID transponder data payload and precise routing determinations without violating existing transmission protocols, using a cloud-based approach to determine the correct storage format and select the appropriate application for processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the first record read from the RFID tag is used to determine application routing, then the routing decision is made quickly and simply, but the routing accuracy deteriorates when the first record is a URL or when contextual factors should influence the decision
Solution Approach 1:
The system performs preliminary actions by sending the first read record to the cloud server before making the final routing decision. The cloud server pre-processes the information, considers contextual factors, and returns the correct application identifier, allowing the mobile device to make accurate routing decisions without complex local processing.
Solution Approach 2:
The cloud server acts as an intermediary between the RFID tag data and the application routing decision. It receives the first read record, enriches it with contextual information from multiple sources, and mediates the routing decision by returning the appropriate application identifier, thereby improving accuracy without compromising speed.
2Adaptability or versatility
If multiple applications are installed on the device, then the system can handle diverse RFID data types, but the difficulty of determining the correct application increases
Solution Approach 1:
The cloud server serves as an intermediary that manages the complexity of application selection. It receives the RFID data, determines which of the multiple installed applications should handle the data based on the data type and contextual factors, and returns the specific application identifier, thereby simplifying the device's decision-making process.
Solution Approach 2:
The system implements feedback by sending the first read record to the cloud server and receiving back the correct application identifier. This feedback loop allows the system to accurately determine which application should handle the RFID data, even when multiple applications are installed, by leveraging the cloud server's ability to analyze the data type and contextual factors.
3Reliability
If the RFID tag payload is physically locked to prevent tampering, then data security is improved, but the ability to update or modify the data payload is lost
Solution Approach 1:
The system transitions from a single-dimension approach (storing all data directly on the RFID tag) to a multi-dimensional approach by separating the locked payload on the RFID tag from the unlockable data stored in the cloud. This dimensional change allows the system to maintain security for critical data while enabling updates for other data through the cloud server.
Solution Approach 2:
The data storage is segmented into two parts: the locked payload on the RFID tag that cannot be modified, and the unlockable data stored in the cloud that can be updated. This segmentation allows the system to maintain security for the essential identification data while enabling flexibility and updates for additional information through the cloud-based storage.
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
Enables more accurate routing of RFID tag data by considering multiple factors, allowing the correct application to handle the data even when the first record is a URL, reducing user intervention and enhancing the precision of application selection in diverse scenarios.
Implementation Method 1
The reader reads information by broadcasting a Radio Frequency (RF) signal over certain range and frequency. When a tag is within range of the reader and receives the signal, it can reflect that signal back to the reader
Implementation Method 2
When a tag is within range of the reader and receives the signal, it can reflect that signal back to the reader in order to communicate with the reader
Data Source
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AI summary
A system comprising a server configured to store a plurality of storage formats associated with one or more auto-identification technologies transponders; and a mobile device comprising: a plurality of application configured to handle auto-identification data, a communication interface, a reader circuit configured to implement at least one auto-identification protocol, a processor configured to implement operating system instructions, the operating system instructions configured to cause the processor to: receive context data, receive auto-identification data from the reader circuit, send at least some of the auto-identification data and the context data to the server via the communication link, receive one of the plurality of storage formats via the communication link that was selected based on the auto-identification data and the context data, and identify and launch one of the plurality of applications based on the received storage format.