Passive RFID Glove Morphology Sensing for Inventory Tracking
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Solution Overview
Problem
Existing tracking systems for ammunition and inventory management are costly and inefficient, particularly due to the high cost and resource-intensive deployment of RFID tags, and lack integration with user identification and power management.
Innovation Solution
Development of tactical passive RFID transponder gloves with morphological actuation, utilizing resistive fabric and force sensors to track inventory through morphological changes, integrated with RFID readers and controllers for real-time tracking and power management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional RFID tags are used for tracking inventory, then tracking capability is provided, but cost and resource consumption increase
Solution Approach 1:
The patent merges the RFID tracking function with the glove itself, making the glove both the protective equipment and the tracking device. The resistive fabric sensors and RFID reader are integrated into the glove structure, eliminating the need for separate RFID tags on inventory items. This consolidation reduces the total number of tracking components while maintaining tracking capability.
Solution Approach 2:
The glove serves multiple functions simultaneously: it provides tactile feedback for inventory handling, tracks inventory status through resistive fabric sensors, identifies the user through fingerprint scanning, and communicates with the inventory management system. This multi-functionality eliminates the need for separate tracking tags and reduces overall system complexity.
2Measurement precision
If multiple RFID tags are deployed for comprehensive tracking, then tracking accuracy improves, but system complexity and cost increase
Solution Approach 1:
The glove performs self-tracking by using its own resistive fabric sensors to detect inventory handling actions and its integrated RFID reader to read tags on inventory items. The system automatically classifies actions, identifies users through fingerprint scanning, and communicates status without requiring external tracking devices or complex infrastructure. This self-service approach simplifies the overall system while maintaining accurate tracking.
3Productivity
If RFID readers and sensors are integrated into gloves, then real-time tracking is enabled, but power consumption increases
Solution Approach 1:
The RFID reader and sensors in the glove operate periodically rather than continuously, activating only when needed for inventory handling actions. The resistive fabric sensors continuously monitor for deformation but only trigger full RFID reading sequences when specific handling patterns are detected. This periodic operation maintains real-time tracking capability while significantly reducing average power consumption.
Solution Approach 2:
The glove's fingerprint scanner and resistive fabric sensors automatically detect user identity and tracking needs without requiring external power sources or continuous active monitoring. The system leverages the natural physical interactions between the user and inventory items to trigger tracking functions, eliminating the need for constant power-intensive operations while maintaining productivity.
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
Provides an integrated solution for inventory management with reduced power consumption, user identification, and comfortable, rugged tracking of ammunition and inventory items, enhancing operational efficiency and reducing costs.
Implementation Method 1
a glove made predominately of a resistive fabric that varies resistance per degree of deformation
Implementation Method 2
an RFID reader (e.g., configured to receive modulated backscatter from an RFID tag)
Data Source
AI summary
Disclosed herein are an exemplary apparatus, system, and methods (e.g., Tactical Passive RFID transponder gloves with Morphological Actuation) comprising a glove made predominately of a resistive fabric that varies resistance per degree of deformation; comprising near field communication RFID tag readers, and a controller coupled to the glove to evaluate the varied resistance. A method of classifying RFID tags is also disclosed.


