RFID Tag Grouping for Unauthorized Exit Detection
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Solution Overview
Problem
Existing RFID tracking systems lack the ability to efficiently identify and differentiate between RFID tags that leave a space together and those that do so without authorization, making it difficult for investigators to review related events and connect transactions.
Innovation Solution
A computer-implemented method that determines groups of RFID tags that exit a space together by analyzing exit times and transaction data, creating a single investigation file for unauthorized items, and linking related transactions through identifiers, allowing for the connection of investigation files.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple RFID tags are tracked individually, then each tag's exit can be monitored, but the ability to identify groups of tags that left together is lost
Solution Approach 1:
The system merges individual tag exit data by grouping tags that exit within a predetermined time window, creating composite group records that preserve both individual identification and collective pattern information
2Reliability
If all RFID tag exits are investigated individually, then thorough investigation is possible, but processing time and resource consumption increase
Solution Approach 1:
The system segments the investigation process by creating separate investigation files for authorized versus unauthorized tags, and further segments unauthorized groups by their exit patterns, allowing parallel processing and reducing overall investigation time
Solution Approach 2:
The system performs preliminary classification of tags as authorized or unauthorized based on transaction data before the actual investigation, pre-organizing data into groups that require different levels of investigation scrutiny
3Measurement precision
If transaction data is analyzed for each RFID tag separately, then authorization can be determined, but connections between related transactions are missed
Solution Approach 1:
The system merges transaction analysis by examining multiple tags' transactions together when they exit in groups, identifying patterns and relationships between transactions that individual analysis would miss, while still maintaining precise authorization determination for each tag
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
Facilitates easier identification of unauthorized RFID tag exits, reduces processing time, and enables the linking of related transactions and investigation files, enhancing the ability to review and connect suspect events.
Implementation Method 1
Radio frequency identifier (RFID) tags generate a radio frequency signal that includes a unique identifier for the tag. A radio frequency sensor receives this signal and decodes the identifier from the signal to identify the tag.
Data Source
AI summary
A computer-implemented method includes determining that a group of items left a space together based on RFID exit times and determining that at least one item of the group of items left the space without authorization by evaluating transactions that took place within a first time period before the at least one item left the space. A single investigation file is automatically created that includes the group of items that left the space together.