Passive RFID and Computer Vision Tracking for Accurate Positioning
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Solution Overview
Problem
Current tracking systems for packages and assets rely on disparate technologies like barcodes, RFID chips, and video monitoring, which are hardware-intensive and lack integration for efficient visibility and identification.
Innovation Solution
A tracking system combining radio frequency identification (RFID) with computer vision, using RSSI, AoA, TOA, and TDOA to determine the position of RFID labels, and associating this data with camera images to calculate a true position, thereby enhancing tracking accuracy and reducing hardware requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If RFID chips and video monitoring systems are used separately to track packages, then tracking visibility is improved, but hardware complexity and cost increase
Solution Approach 1:
The patent combines RFID tracking data with computer vision data into a unified tracking system. The RFID system provides continuous location information while the computer vision system captures visual data, and both are integrated through a common processing platform that correlates RFID tags with visual images, achieving improved tracking visibility without requiring separate disparate systems.
Solution Approach 2:
The tracking system is designed to handle multiple tracking scenarios using the same infrastructure. The system can track packages, monitor assets, and identify items taken from shelves using the same RFID readers, cameras, and processing unit, making the hardware versatile and reducing overall system complexity.
2Area of stationary object
If RFID tracking is used without computer vision, then tracking coverage is improved, but position accuracy deteriorates
Solution Approach 1:
The system uses computer vision to provide feedback on RFID position data. When the camera captures an image of an RFID-tagged item, the system correlates the visual position with the RFID position data, allowing for correction and verification of the RFID tracking accuracy, thereby improving position accuracy while maintaining wide tracking coverage.
Solution Approach 2:
The processing unit acts as an intermediary that correlates RFID tag data with computer vision data. It matches RFID tags detected in images with RFID readers' location information, using the visual data as a reference to improve the accuracy of RFID position measurements without limiting tracking coverage.
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
The integration of RFID and computer vision improves tracking accuracy and reduces hardware costs by correlating radio-based positioning with visual data, providing precise asset tracking without the need for expensive tags or specialized cameras.
Implementation Method 1
the radio communication system uses received signal strength indicator (RSSI) to calculate the position of the RFID label
Implementation Method 2
the radio communication system uses Angle of Arrival (AoA) to determine the position of the RFID label
Implementation Method 3
the radio communication system uses Time of Arrival (TOA) or Time Difference of Arrival (TDOA) to determine the position of the RF label
Data Source
AI summary
A tracking system comprises a radio communication system that utilizes radio waves from a mobile device comprising a microchip and antenna, the radio waves including information to register an identification of the mobile device and establish a position of the mobile device; a camera system that provides a field of view for surveying an area where the mobile device is located and in communication with the communication system; and a processing unit that processes the identification and location information of the mobile device received from the radio communication system and images received from the camera system in the field of view to associate location information of the mobile device tracked by the radio communication system with the images from the camera system to determine a position of the mobile device.