RFID Tag Encoding Sequencing via TID Feedback
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Solution Overview
Problem
Current Continuous and Bulk Encoding technologies for RFID tags face limitations such as lack of ordering, incomplete and nondeterministic failure data, and specificity to frequency range and protocol, which hinder efficient encoding and verification processes, especially in environments where item sequence and failure detection are crucial.
Innovation Solution
The method employs the Tag Identifier (TID) or Unique Identifier (UID) of RFID tags to sequence and encode items in continuous motion, using a software program that captures and reports sequence data, detects failures, and isolates or marks them without separate testing, enabling efficient encoding across various frequency ranges and protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If Continuous and Bulk Encoding technologies are used for RFID tags, then encoding speed and productivity are improved, but the ability to determine item order and detect failures is lost
Solution Approach 1:
The patent implements a feedback mechanism where the system reads the TID/UID of each RFID tag, determines its sequence position based on physical order sensors, and uses this feedback to correctly associate encoded data with the proper tag sequence. This closed-loop approach maintains ordering information throughout the continuous encoding process.
Solution Approach 2:
The patent introduces an intermediary sequencing system that acts as a mediator between the continuous encoding process and the final tagged items. This intermediary layer captures TID/UID information and sequence data, matching them together to preserve ordering information without disrupting the high-speed continuous encoding operation.
2Productivity
If Continuous and Bulk Encoding technologies are used for RFID tags, then encoding efficiency is improved, but failure detection completeness deteriorates
Solution Approach 1:
The system implements comprehensive feedback by continuously monitoring encoding results and comparing them against the sequence of items processed. This feedback mechanism enables complete failure detection by identifying any discrepancies between expected and actual encoding outcomes for each specific tag in the continuous stream.
Solution Approach 2:
The patent performs preliminary actions by pre-establishing the expected sequence of tags before encoding begins. This preliminary sequencing information is stored and used to verify encoding completeness, allowing the system to detect failures by comparing actual results against the pre-defined expected sequence.
3Speed
If Continuous and Bulk Encoding technologies are used for RFID tags, then processing speed is improved, but the specificity and adaptability to different frequency ranges and protocols is reduced
Solution Approach 1:
The patent implements a universal encoding system that can operate with multiple RFID protocols and frequency ranges. The sequencing and failure detection mechanisms are protocol-agnostic, working with any RFID tag type while maintaining high processing speeds through standardized interface operations.
Solution Approach 2:
The system employs parameter changes by adjusting encoding parameters based on the specific RFID protocol and frequency range being used. This allows the continuous encoding process to adapt to different tag types while maintaining optimized processing speeds for each protocol through dynamic parameter modification.
4Measurement precision
If traditional separate testing processes are used for RFID tags, then failure identification precision is improved, but productivity and time consumption are worsened
Solution Approach 1:
The patent merges the encoding and testing processes into a single integrated continuous operation. By combining sequence determination, encoding, and failure detection in one unified process, the system maintains precise failure identification while eliminating the productivity loss associated with separate testing stages.
Solution Approach 2:
The system ensures continuity of useful action by performing encoding and failure detection simultaneously in a continuous process rather than sequentially. This eliminates idle time between encoding and testing, maintaining high throughput while preserving precise failure identification through ongoing monitoring.
Data Source
AI summary
A Method for rapidly encoding RFID Tags on a moving web, using well established encoding techniques supplemented by an elegant but unobvious mechanism for enforcing the order of data encoded to said RFID Tags.


