Electronic Device Item Location Inference via Sensor Correlation
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Solution Overview
Problem
Existing systems for providing location information of items in a shop require manual updates of item positions, which can be cumbersome, especially when the shop layout or product locations change.
Innovation Solution
An electronic device and system that correlate location tracking information from user devices with item list data to determine the location of specific items, allowing for automatic updating of item locations without manual effort from shop owners.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual updates of item positions are used, then location information can be provided to users, but the maintenance effort and time consumption increase significantly when shop layout or product locations change
Solution Approach 1:
The system enables automatic self-updating of item location information by correlating sensor data from electronic devices with item list data. The system self-corrects and updates location information without requiring manual intervention from shop owners, thereby reducing maintenance time while maintaining accuracy.
Solution Approach 2:
The patent replaces the manual mechanical update process with an automated electronic system that uses sensor data correlation. Instead of manually updating databases, the system automatically processes sensor data from electronic devices to infer and update item locations, eliminating the need for manual maintenance effort.
2Reliability
If manual updates of item positions are used, then location information can be provided to users, but the complexity of the system increases due to required manual intervention
Solution Approach 1:
The system performs automatic self-maintenance through automated correlation of sensor data with item lists. This self-service mechanism eliminates the need for manual intervention and complex administrative interfaces, simplifying the overall system while maintaining reliable location information.
Solution Approach 2:
The system uses a multi-functional approach where the same sensor data infrastructure serves both for tracking user locations and for inferring item locations. This universal use of data sources reduces system complexity by avoiding separate dedicated systems for each function.
3Productivity
If automated correlation of location tracking information with item list data is implemented, then manual maintenance effort is reduced, but the quantity of data to be processed increases
Solution Approach 1:
The system extracts only the relevant features and data elements needed for location inference from the large volume of sensor data. By focusing on specific correlation patterns between device locations and item lists, the system processes only necessary data portions, maintaining high productivity without being overwhelmed by total data volume.
Solution Approach 2:
The patent segments the data processing into discrete correlation steps between location tracking information and item list data. This segmentation allows efficient batch processing and reduces the computational burden by handling data in manageable units rather than as a monolithic dataset.
Data Source
AI summary
An electronic device has a display and a circuitry. The circuitry is configured to obtain location information of a specific item of multiple items located in an environment, wherein the location information of the specific item is obtained based on a correlation between location tracking information of electronic devices moving in the environment and item list data representing items of the multiple items being purchased by users of the electronic devices for which the location tracking information has been provided; and display an indication of the location of the specific item on the display.