Access Card Affinity Group Identification
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Solution Overview
Problem
Existing systems and methods for access cards do not effectively analyze past access time data to identify affinity group relationships between different cards, limiting their ability to predict organizational or user performance.
Innovation Solution
A system and method that matches respective access times of access cards within a defined swipe time interval to identify affinity groups by storing and processing access time data, using a user interface device and database to generate reports on matching access patterns within a search period.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If access card data is analyzed from individual cards or complete set to extract operational data, then predictions about future performance can be made, but the ability to identify affinity group relationships between different cards is lost
Solution Approach 1:
The system segments the analysis by creating distinct affinity groups from the complete set of access cards based on temporal proximity of access times. Each affinity group represents a subset of cards with related access patterns, allowing the system to preserve relationship information while enabling targeted predictions for each group rather than treating all cards uniformly.
Solution Approach 2:
The patent introduces a new dimension of analysis by adding affinity group classification to the traditional individual card or complete set analysis. This dimensional addition allows the system to simultaneously maintain individual card performance tracking and identify relational patterns across cards, resolving the contradiction between detailed analysis and relationship detection.
2Reliability
If access times are matched across multiple access cards within a swipe time interval, then affinity groups can be identified, but the complexity of data processing increases
Solution Approach 1:
The system changes the parameter of time analysis by introducing a swipe time interval threshold. Access times are matched based on whether they fall within this defined interval, transforming a complex multi-variable matching problem into a simpler threshold-based comparison. This parameter-based approach maintains high identification accuracy while reducing processing complexity.
Solution Approach 2:
The patent creates a temporal copy or representation of access times by comparing them against a defined swipe time interval window. Instead of directly comparing all pairs of access times across multiple cards, the system uses the interval window as an intermediary reference, simplifying the matching process while preserving the accuracy of affinity group identification.
3Measurement precision
If individual card data is analyzed separately, then detailed performance metrics can be obtained, but relationship patterns between cards remain undetected
Solution Approach 1:
The system merges the analysis of individual card data with relationship detection by combining detailed performance metrics with affinity group identification. The patent processes individual card access times separately to maintain measurement precision, then merges these results by comparing access times across cards within swipe time intervals to detect relationship patterns, achieving both detailed metrics and relationship detection simultaneously.
Data Source
AI summary
Systems and methods for identifying an affinity group are provided. Some systems and methods may include matching respective access times associated with a plurality of access cards over a defined search period and using a swipe time interval to identify the affinity group of at least one of the plurality of access cards.