Target Management with User-Assisted Identification for Similar Appearances
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Solution Overview
Problem
Existing systems struggle to accurately determine whether a subject is identical to a specific target, especially in cases where the similarity is unclear, such as with twins or siblings with similar appearances.
Innovation Solution
A target management system that includes a camera, user terminal, and management device, which uses machine learning to perform initial determinations and requests user input when uncertain, updating the system's association based on user responses to improve accuracy over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic determination process is used to identify subjects, then processing efficiency is improved, but determination accuracy deteriorates in cases of similar appearances
Solution Approach 1:
The system introduces a user terminal as an intermediary when automatic determination is uncertain. The management device sends determination requests to the user terminal for manual verification in ambiguous cases (e.g., twins or similar appearances), while maintaining automatic processing for clear cases, thus combining both efficiency and accuracy.
2Measurement precision
If user feedback is collected to improve determination accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system implements a feedback mechanism where user determination results are sent back to the management device. The storage device updates the determination process by storing association between subjects and targets based on user feedback, continuously improving accuracy without requiring complex system changes.
3Measurement precision
If manual determination requests are sent to user terminals, then determination accuracy is improved, but loss of time increases
Solution Approach 1:
The system applies partial manual intervention only when necessary. The management device sends determination requests to user terminals only when the automatic determination process results in uncertainty (e.g., similarity threshold not met), while automatically confirming clear cases, thus minimizing time loss while improving accuracy where needed.
Data Source
AI summary
A target management system includes one or more memory devices configured to store a registered image of each of one or more targets and processing circuitry. The processing circuitry is configured to execute a determination process to determine whether a subject in a subject image is identical to any of the targets, provide a determination request to a user terminal when a specific condition is satisfied, and strengthen association between the subject and a specific target when a determination response indicates that the subject and the specific target are identical.