Video-Based Work Support for Pre-Task Error Verification
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Solution Overview
Problem
Existing work support systems do not provide real-time guidance to workers, leading to potential erroneous work performance, as they only evaluate work quality after completion without supporting the worker during the process.
Innovation Solution
A work support system that includes an identification unit to detect worker inquiries via video, a selection unit to choose determination models, a determination unit to verify the correctness of targets, and an output unit to provide results, allowing workers to confirm their actions before performing the task, thereby preventing errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If work quality evaluation is performed only after work completion, then the evaluation process is simple, but erroneous work cannot be prevented before it occurs
Solution Approach 1:
The system performs preliminary verification by analyzing work description quality before the worker executes the task. The analysis unit evaluates whether the work description contains sufficient information and correctness indicators, providing feedback to the worker before they begin the actual work, thus preventing erroneous work from occurring in the first place
Solution Approach 2:
The system implements continuous feedback mechanisms where the analysis unit monitors work descriptions in real-time, provides correctness assessments, and guides workers to correct problematic descriptions before task execution, creating a closed-loop control system that improves work reliability
2Reliability
If real-time work support is provided to prevent erroneous work, then work correctness improves, but the system complexity increases
Solution Approach 1:
The system enables workers to self-verify their work descriptions through automated analysis. The worker inputs the work description, the analysis unit automatically evaluates it for correctness and completeness, and provides guidance for corrections, allowing the worker to resolve issues independently without requiring complex human intervention systems
Solution Approach 2:
The system replaces complex manual review processes with automated image recognition and natural language processing technologies. Instead of requiring supervisors to manually review and approve work descriptions, the analysis unit automatically analyzes the content, reducing the need for complex human-in-the-loop verification systems
3Reliability
If work descriptions are thoroughly evaluated before task execution, then erroneous work is reduced, but the time required for work preparation increases
Solution Approach 1:
The system performs selective analysis focusing on key correctness indicators rather than exhaustive evaluation of all work description aspects. The analysis unit identifies and evaluates critical elements such as task clarity, necessary information completeness, and potential error risks, providing sufficient verification without requiring overly detailed review of every description element
Solution Approach 2:
The system implements periodic analysis at critical checkpoints in the work process rather than continuous monitoring. The analysis unit evaluates work descriptions at key moments such as task initiation and before critical operations, providing timely verification without requiring constant analysis that would significantly extend preparation time
Data Source
AI summary
A work support system is capable of avoiding situations where a worker performs erroneous work. The system includes an identification unit which identifies a target of an inquiry from a worker based on a video acquired by an imaging device, a selection unit which selects determination model information corresponding to each of one or more targets of inquiry identified by the identification unit from a storage unit storing determination model information to be used in a determination model. A determination unit determines whether each of the targets of inquiry is correct by using each of the determination models in which the determination model information, which was selected by the selection unit, corresponding to each of the one or more targets of inquiry identified by the identification unit, has been set in the determination model. An output unit outputs a determination result of the determination unit.