Mobile RFID Localization via Sensor Fusion
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Solution Overview
Problem
Current RFID tag localization systems using high power antennas and stationary readers are cost-ineffective and complex, making them difficult to integrate on a large scale, and portable scanners are limited to displaying information without providing precise location tracking.
Innovation Solution
A method and device that utilize a mobile device equipped with an RFID reader module, inertial measurement unit (IMU) components, and a camera to detect and track RFID tags by transmitting trigger signals, receiving response signals, estimating tag location, and correlating image data to generate precise position information for display on a graphical user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high power antennas and stationary readers are used for RFID tag localization, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces the mechanical/electrical system of stationary readers with high power antennas with a mobile computing device that integrates an RFID reader, IMU sensors, and camera. This substitution reduces infrastructure complexity while maintaining localization precision through sensor fusion algorithms that process RFID signal strength, accelerometer data, gyroscope data, and visual information.
Solution Approach 2:
The mobile computing device performs multiple functions: RFID tag detection, position estimation via IMU sensors, visual object recognition via camera, and data fusion for precise localization. This multi-functional approach eliminates the need for separate stationary readers and specialized localization equipment, reducing overall system complexity.
2Measurement precision
If high power antennas and stationary readers are deployed, then measurement precision is improved, but ease of manufacture and integration deteriorate
Solution Approach 1:
The patent combines RFID reader, IMU sensors (accelerometer, gyroscope), camera, and processing unit into a single mobile computing device. This integration simplifies manufacturing and deployment compared to installing multiple separate stationary readers with high power antennas throughout the environment.
Solution Approach 2:
The mobile computing device uses its own onboard sensors (IMU, camera) to assist in localization rather than relying on external infrastructure. The device self-calibrates and processes its own data to determine position, reducing the need for complex external system integration.
3Ease of operation
If portable RFID scanners are used, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent replaces simple portable RFID scanners with a mobile computing device that integrates RFID reading capabilities with IMU sensors and camera. This enhancement maintains portability and ease of operation while significantly improving location tracking precision through multi-sensor data fusion.
Solution Approach 2:
The mobile computing device acts as a composite system combining multiple sensing modalities (RFID signal strength, accelerometer measurements, gyroscope orientation data, camera visual information). This composite approach enables precise location tracking while maintaining the portability of a handheld device.
4Reliability
If multiple stationary readers with high power antennas are deployed, then reliability of tag detection is improved, but loss of energy increases
Solution Approach 1:
The patent replaces the energy-intensive high power antenna system with a mobile device that uses low-power RFID reading combined with sensor-based position estimation. The IMU sensors and camera consume minimal energy compared to high power radio transmission, while achieving comparable or better detection reliability through sensor fusion.
Solution Approach 2:
Instead of continuous high power transmission from multiple stationary readers, the mobile device performs periodic RFID scans and sensor measurements. This periodic operation reduces energy consumption while maintaining reliable tag detection through strategic sampling and data fusion.
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
Enables precise and cost-effective tracking of RFID tags and associated objects in a space, providing accurate location data and movement monitoring through a user-friendly interface, overcoming the limitations of traditional systems.
Implementation Method 1
Radio frequency identification tags (RFID) are widely utilized in RFID tagging systems to identify and/or track objects in a localized area. RFID tags include electronic circuitry that exchanges data with an RFID reader through radio waves.
Implementation Method 2
A method and electronic device for detecting and tracking objects associated with an electronic tag
Data Source
AI summary
A method performed within a user device includes receiving at least one response signal corresponding to a respective tag. The method includes, identifying a directional location of the respective tag relative to the user device. The method includes estimating a distance of the respective tag relative to the user device. The method includes correlating the directional location and distance of the respective tag to generate corresponding position information. The position information provides more precise point location of the object. The method includes outputting the corresponding position information to an electronic display.