Motion Information Evaluation for Standardized Factory Work

The patent replaces manual evaluation methods with automated image recognition and motion analysis systems. Cameras capture motion images of operation targets, and AI algorithms automatically analyze motion trajectories, positions, and actions to evaluate standardized work results, substituting the mechanical manual evaluation process with an automated optical and computational system.

The system enables self-service evaluation where the motion management system automatically captures, analyzes, and evaluates motion data without requiring external manual intervention. The operation targets themselves are evaluated through their captured motion images, which are processed by the system to generate pass rates and evaluation results autonomously.

The patent segments the evaluation process into distinct modules: motion image capture by cameras, motion information extraction through image recognition, motion document generation, and pass rate calculation. This segmentation allows each module to handle specific tasks independently, improving evaluation precision while managing system complexity through modular architecture.

The patent introduces motion documents as an intermediary data structure that bridges raw motion images and evaluation results. Motion documents standardizedly record motion information including trajectories, positions, and actions, serving as a mediator that structures complex image data into analyzable formats, thereby improving precision without proportionally increasing system complexity.