Location Tag Scans for Automated Wireless Fingerprint Collection
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Solution Overview
Problem
Current approaches for collecting training data to develop and fine-tune artificial intelligence machine learning (AIML) models for IoT devices are laborious, resource-intensive, and expensive, limiting their applicability and scalability, particularly for RSSI-based positioning solutions.
Innovation Solution
A wireless fingerprint measurement device measures and shares wireless fingerprint information associated with signals transmitted or received by a scanning device in response to a scan of a location tag, which can be reported to a network component, facilitating improved data collection for AIML models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional methods are used to collect training data for AIML models, then data collection can be performed, but the process becomes laborious, resource-intensive, and expensive
Solution Approach 1:
The system enables devices to automatically measure and share wireless fingerprint information without human intervention. Scanning devices automatically scan location tags, measurement devices automatically measure wireless signals, and the system automatically shares collected data, transforming a manual process into an autonomous self-service system that improves efficiency while reducing complexity
Solution Approach 2:
The patent introduces an intermediary data sharing mechanism that connects scanning devices, measurement devices, and network components. This intermediary layer facilitates automatic data exchange between devices through standardized protocols, enabling efficient data collection without direct human involvement and reducing the overall system complexity through modular communication interfaces
2Productivity
If manual data collection methods are used for wireless fingerprinting, then positioning data can be obtained, but the process is labor-intensive and not scalable
Solution Approach 1:
The system establishes continuous data collection through automatic scanning and measurement operations. Devices continuously scan location tags and measure wireless fingerprint information without interruption, transforming discrete manual data collection into a continuous automated process that significantly reduces time requirements and enables scalable deployment across multiple locations simultaneously
Solution Approach 2:
The patent implements preliminary data collection by having devices scan and measure wireless fingerprints in advance before positioning is needed. Training data is collected and stored beforehand, allowing the system to be pre-prepared for rapid positioning operations, thereby reducing the time required during actual positioning tasks and improving overall scalability
Data Source
AI summary
Aspects of the disclosure relate to signaling of wireless fingerprint information associated with a scan of a location tag. In an aspect, a location tag (e.g., a label or display screen on which a quick response (QR) code is printed or displayed) is associated with a known location. A wireless fingerprint measurement device measures wireless fingerprint information associated with signals(s) transmitted by a scanning device or received by the scanning device. The wireless fingerprint measurement device shares the wireless fingerprint information in response to a scan of a location tag by the scanning device. In an aspect, a wireless fingerprint reporting device (which may be the same or different than the wireless fingerprint measurement device) reports the wireless fingerprint information to a network component. Such aspects may provide various technical advantages, such as improved data collection associated with artificial intelligence machine learning (AIML) models.