Wireless Tag Range Detection Using Multi-Position Antenna Data
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Solution Overview
Problem
Existing apparatuses struggle to accurately determine the presence of wireless tags within or outside a predetermined range due to insufficient data collection caused by antenna movement speed and the number of tags, leading to reduced determination accuracy.
Innovation Solution
A communication apparatus equipped with an antenna, driving device, and processor that moves the antenna to collect tag data at multiple positions, using a learned model generated through machine learning to analyze the collected data and adjust measurement processes based on the acquired data to ensure sufficient determination accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the antenna moves quickly to increase measurement speed, then productivity is improved, but measurement precision deteriorates due to insufficient data collection
Solution Approach 1:
The system performs preliminary actions by collecting additional tag data at different antenna positions before making a determination. The processor gathers tag data at multiple positions and uses a learned model to analyze this accumulated data, ensuring sufficient data collection even when the antenna moves quickly through the measurement area.
Solution Approach 2:
The system transitions from single-position measurement to multi-position measurement by moving the antenna to multiple different positions. This dimensional change from one measurement point to multiple measurement points allows the system to collect sufficient data for accurate determination while maintaining measurement speed.
2Measurement precision
If the antenna moves slowly to collect sufficient data, then measurement precision is improved, but productivity deteriorates due to increased measurement time
Solution Approach 1:
The system replaces the traditional mechanical approach of slow, deliberate antenna movement with a computational approach. The processor quickly collects tag data at multiple antenna positions and uses a learned model (machine learning) to rapidly analyze the accumulated data, substituting computational processing for mechanical slowing down.
Solution Approach 2:
The system maintains continuous useful action by collecting tag data at multiple antenna positions without interruption. The processor continuously gathers data as the antenna moves and processes this data through the learned model, ensuring that data collection is ongoing and sufficient data is accumulated for accurate determination.
3Measurement precision
If multiple measurement processes are performed to improve determination accuracy, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system merges multiple measurement processes into a single integrated workflow. The processor collects tag data at multiple antenna positions and processes all this data together through the learned model in one continuous operation, rather than performing separate measurement processes sequentially. This combining of data collection and analysis reduces total measurement time.
Solution Approach 2:
The system performs preliminary data collection at multiple antenna positions before the final determination is made. By gathering all necessary tag data in advance and having the learned model ready for analysis, the system prepares everything needed for accurate determination beforehand, reducing the time required for the actual determination process.
Data Source
AI summary
According to an embodiment, a communication apparatus acquires tag data of each wireless tag at a plurality of positions of a moved antenna via an antenna and inputs the tag data into a learned model. The communication apparatus acquires, on the basis of the input of the tag data of each wireless tag into the learned model, data indicating a level regarding the range in which each wireless tag is present from the learned model. In addition, the communication apparatus controls, in a case where the levels of the plurality of wireless tags acquired on the basis of one or more measurement processes for a plurality of wireless tags do not satisfy a condition, a measurement process involving a change of a measurement aspect with respect to the plurality of wireless tags.