Automated Reference Region Extraction for Watch-Over Systems
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Solution Overview
Problem
Information processing systems that rely on position information for watch-over systems face increased human burdens in setting up and managing reference regions, which can be time-consuming and inefficient.
Innovation Solution
An information processing apparatus and method that includes a determination unit to assess if a target is within a geographic reference region, an extraction unit to identify suitable reference region candidates, and an output unit to provide information related to these candidates based on set conditions, reducing the need for manual setting and improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual setting of reference regions is performed in watch-over systems, then the system can accurately monitor target positions, but the human burden and time required for setting work increases
Solution Approach 1:
The system automatically extracts reference region candidates based on the target's historical position information without requiring manual user input. The extraction unit processes position data to identify frequently visited locations, and the notification unit presents these candidates to the user for confirmation, thereby enabling the system to serve itself in the reference region setting process.
Solution Approach 2:
The system performs preliminary extraction of reference region candidates using historical position data before the actual monitoring begins. By pre-processing position information to identify potential reference regions and presenting them to the user in advance, the system reduces the time required during the actual setup phase while maintaining monitoring accuracy.
2Ease of operation
If automated extraction of reference region candidates is implemented, then setting work is reduced, but system complexity increases
Solution Approach 1:
The system divides the reference region setting process into distinct functional modules: an extraction unit that processes position information to identify candidates, and a notification unit that presents these candidates to the user. This segmentation allows each module to perform its specific function independently, reducing overall system complexity while maintaining automation capabilities.
Solution Approach 2:
The notification unit acts as an intermediary between the automated extraction process and the user. It receives extracted reference region candidates from the extraction unit and presents them to the user for confirmation, serving as a bridge that simplifies the interaction between complex automated processing and simple user operations.
3Productivity
If reference region candidates are extracted and presented to users, then manual setting burden is reduced, but information processing load increases
Solution Approach 1:
The extraction unit processes only the necessary portion of position information to extract reference region candidates, rather than analyzing all possible position data. By performing partial processing focused specifically on identifying frequently visited locations, the system reduces the overall information processing load while still achieving the goal of automated reference region setting.
Data Source
AI summary
There is provided an information processing apparatus to reduce human burdens in setting work for a watch-over system, the information processing apparatus including: a determination unit that determines whether or not a position of a target is within a reference region, the reference region being a geographic region; an extraction unit that extracts a reference region candidate as a candidate for the reference region; and an output unit that outputs information related to the extracted reference region candidate in association with a reference condition.