Processing Apparatus for Validating Involved Person Estimation Accuracy
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Solution Overview
Problem
Current techniques for estimating involved persons in incidents or accidents lack a method to validate the accuracy of the results, leading to potential mistakes such as mistaken arrests or failure to identify the involved person, as they often rely on intuition or experience rather than objective measures.
Innovation Solution
A processing apparatus and method that acquires site situation information, estimates the features of an involved person based on this information, and computes a feature difference between the estimated and target person features to determine the validity of the estimation, using estimation models learned from data associating person features with surrounding situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If estimation of involved person features is performed based on intuition or experience, then the process is simple and quick, but the reliability and accuracy of the estimation results deteriorate
Solution Approach 1:
The patent replaces the mechanical system of human intuition and experience-based estimation with an automated computer-based estimation system. The processing apparatus uses algorithms to automatically estimate involved person features from site situation information, substituting human cognitive processes with computational methods to improve reliability while maintaining ease of operation.
Solution Approach 2:
The patent implements a feedback mechanism by computing feature differences between estimated involved person features and actual person features. This feedback loop allows the system to validate estimation results and improve accuracy by comparing predicted features with ground truth data, thereby resolving the reliability issue.
2Productivity
If computer-based estimation of involved person features is performed, then productivity and consistency are improved, but the complexity of the system increases
Solution Approach 1:
The processing apparatus is designed with multi-functionality to handle various estimation tasks within a single unified system. It can estimate multiple person features (age, gender, body shape, etc.) from diverse site situation information, reducing the need for multiple separate systems and thereby managing complexity while improving productivity.
Solution Approach 2:
The patent introduces an intermediary computation unit that bridges the estimation unit and the validation process. This intermediary component computes feature differences and facilitates the connection between estimated features and actual features, managing system complexity by organizing the flow of information and processes.
3Measurement precision
If feature difference computation is performed to validate estimation results, then measurement precision is improved, but the loss of time for additional processing increases
Solution Approach 1:
The patent applies partial action by computing feature differences selectively for key features rather than all possible features. The system focuses on computing differences for the most critical person features (such as age, gender, body shape) to validate estimation results, achieving sufficient measurement precision without excessive time consumption.
Data Source
AI summary
To decide validity of results of various types of estimation concerning an involved person in an incident or accident, the present invention provides a processing apparatus 10 including: a site situation information acquisition unit 11 that acquires site situation information indicating a situation of a site; an involved person estimation unit 12 that estimates, based on the site situation information, a feature of an involved person of an event that occurred at the site; a computation unit 13 that computes a feature difference being a difference between the estimated feature of the involved person and a feature of a target person; and an output unit 14 that outputs the feature difference.