RFID Tag Identification Using Accelerometer Gyroscope Sensors
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Solution Overview
Problem
Traditional warehouses and distribution centers rely on human operators with scanning devices that often receive erroneous RFID tag data due to the lack of line-of-sight requirements, leading to inefficient workflows and increased downtime.
Innovation Solution
A scanning system utilizing a first sensor attached to an RFID scanner and a second sensor on a portable data terminal, employing accelerometers and gyroscopes to determine relative acceleration and tilt between the user's hand and torso, combined with time and signal strength data, to accurately identify intended RFID tags.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If RFID scanner receives data from multiple articles in close proximity, then the scanner can identify more articles, but the accuracy of identifying the intended RFID tag decreases
Solution Approach 1:
The patent segments the RFID tag identification process into multiple independent analysis dimensions: spatial position (from accelerometer and gyroscope data), temporal characteristics (time of receipt), and signal strength. By dividing the identification task into these separate analytical components, the system can evaluate each dimension independently and integrate the results to accurately identify the intended tag among multiple received tags.
Solution Approach 2:
The patent introduces intermediate data elements as mediators to bridge the RFID scanner and the intended tag identification. These intermediaries include: (1) sensor data from accelerometers and gyroscopes that capture hand movement and orientation, (2) temporal data recording when tags are received, and (3) signal strength measurements. These intermediate elements process and filter the raw RFID data stream, enabling accurate identification of the intended tag.
2Ease of operation
If RFID scanner operates without line-of-sight requirement, then the scanner can read tags more flexibly, but erroneous tag data is received from unintended articles
Solution Approach 1:
The patent implements feedback mechanisms where sensor data from accelerometers and gyroscopes continuously monitors hand movement and device orientation. This feedback is used to dynamically adjust the identification of intended tags by comparing expected spatial-temporal patterns with actual sensor readings. The system also uses signal strength feedback to validate received tags, ensuring that only tags matching the spatial and temporal criteria are identified as intended.
3Measurement precision
If multiple sensors are used to determine intended RFID tag, then the accuracy of tag identification improves, but the device complexity increases
Solution Approach 1:
The patent makes the sensors serve multiple functions: the accelerometer and gyroscope not only detect hand movement and orientation for identifying the intended tag, but also provide data for determining spatial position, validating temporal sequences, and assessing signal strength correlations. This multi-functionality reduces the need for separate dedicated sensors for each measurement type, thereby limiting the increase in device complexity while maintaining high identification accuracy.
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
This solution reliably identifies intended RFID tags, enhancing operator efficiency and reducing downtime by distinguishing between intended and unintended RFID tag data in close proximity scenarios.
Implementation Method 1
employ accelerometers, gyroscopes, and related positional sensors in order to determine relative acceleration and tilt
Implementation Method 2
employ accelerometers, gyroscopes, and related positional sensors in order to determine relative acceleration and tilt
Implementation Method 3
Radio-frequency identification (RFID) tags, however, operate using electromagnetic fields such that LOS between the RFID tag located on the article and the RFID scanner is unnecessary
Data Source
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AI summary
Apparatuses, systems, and methods of manufacturing are described that provide improved tag identification. An example system includes a radio-frequency identification (RFID) scanner that receives a stream of RFID tags each associated with a respective article. The system further includes a first sensor attached to the RFID scanner that generates first positional data and a second sensor positioned separate from the first sensor that generates second positional data. The system also includes a computing device communicably coupled with the RFID scanner, the first sensor, and the second sensor. The computing device receives the stream of RFID tags, receives first positional data from the first sensor, receives second positional data from the second sensor, and determines an intended RFID tag from amongst the stream of RFID tags based upon the first positional data and the second positional data.