Action Evaluation Apparatus for Worker Motion Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing action evaluation methods, such as task simulators, may fail to identify all problems caused by worker actions in production lines due to reliance on indices and lack of incorporation of actual worker movements, leading to potential missed issues like near-misses and misunderstandings.
Innovation Solution
An action evaluation apparatus that includes an action detection unit, an action evaluation unit, and a visual representation addition unit, which detects and evaluates actual worker actions, determining if they match pre-set specific actions and adds visual representations to associated areas on a virtual representation of the worker, allowing for real-time identification of problematic actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a task simulator is used to evaluate worker actions, then it can provide indices for tracking worker actions, but it may fail to identify all problems caused by actual worker movements
Solution Approach 1:
The patent creates a virtual copy of the worker's actual movements by capturing motion data and representing it as a virtual worker in a three-dimensional space. This virtual copy allows for accurate evaluation of actions without requiring physical mock-ups, while preserving all nuances of actual worker behavior including near-misses and problematic movements that traditional indices might miss.
Solution Approach 2:
The patent replaces physical observation and manual tracking methods with automated image recognition and motion capture technology. By using cameras and computer vision algorithms to detect and track worker actions, the system achieves comprehensive and accurate measurement of all worker movements without relying on self-reported indices or manual observation.
2Measurement precision
If physical mock-ups are used to evaluate production line actions, then actual worker movements can be observed, but costs increase and flexibility for modifications decreases
Solution Approach 1:
The patent uses virtual reality and three-dimensional modeling to create a digital replica of the production line environment. This virtual model can be easily modified without physical construction changes, allowing for flexible evaluation of different production line configurations while maintaining accurate observation of worker actions through virtual avatars that replicate actual movements.
Solution Approach 2:
The patent substitutes physical mock-ups with a computer-based virtual environment that uses image recognition and motion capture technology. This eliminates the need for expensive and time-consuming physical prototypes while providing equally accurate or superior action evaluation capabilities through automated tracking and analysis.
3Reliability
If managers manually identify problems from worker actions, then they can detect issues, but the likelihood of missing problems increases
Solution Approach 1:
The patent implements an automated feedback system where the virtual worker's actions are continuously monitored and compared against ideal movement patterns. The system automatically identifies deviations, near-misses, and problematic actions, providing immediate feedback to managers without requiring manual observation. This feedback loop ensures comprehensive problem detection by analyzing every worker action objectively and consistently.
Solution Approach 2:
The patent enables the evaluation system to automatically detect and report problematic actions without requiring manager intervention for initial identification. The image recognition and motion analysis algorithms independently evaluate worker actions, identify issues, and present findings to managers, freeing them from manual screening while ensuring no problems are missed due to human oversight.
Data Source
AI summary
An action evaluation apparatus 10 includes: an action detection unit 11 that detects an action of a target person; an action evaluation unit 12 that determines whether or not the detected action matches a specific action set in advance; and a visual representation addition unit 13 configured to, if it is determined by the action evaluation unit 12 that the detected action matches the specific action, specify a part of the person associated with the specific action in advance and add a visual representation to the part associated with the specific action on the person or an object representing the person displayed on a screen.