system

JP2026103577APending Publication Date: 2026-06-24SOFTBANK GROUP CORP

Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
SOFTBANK GROUP CORP
Filing Date
2024-12-12
Publication Date
2026-06-24

AI Technical Summary

Benefits of technology

【0013】 「最適化」とは、生産プロセスにおける無駄や非効率を排除し、最大限の生産効率と品質を達成するための調整および改善を行うことを指す。

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Abstract

We provide the system. [Solution] A means for receiving information on production machinery and its operating status acquired from a data acquisition module, and for analyzing said information to optimize the manufacturing process, A means for analyzing visual information of a product received from an image acquisition module and detecting product defects based on said visual information, A means to monitor the status of equipment, identify signs of equipment failure using predictive technology, and support planned maintenance, A means of providing work instructions and warnings to workers in real time and supporting their work, A means for visualizing the status data of factory machinery and displaying analysis results that support the improvement of production efficiency, A system that includes this.
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Claims

1. A means for receiving information on production machinery and its operating status acquired from a data acquisition module, and for analyzing said information to optimize the manufacturing process, A means for analyzing visual information of a product received from an image acquisition module and detecting product defects based on said visual information, A means to monitor the status of equipment, identify signs of equipment failure using predictive technology, and support planned maintenance, A means of providing work instructions and warnings to workers in real time and supporting their work, A means for visualizing the status data of factory machinery and displaying analysis results that support the improvement of production efficiency, A system that includes this.

2. The system according to claim 1, which analyzes the status information of the device and the manufacturing process information using multiple machine learning techniques to identify inefficient parts of the manufacturing process and promote the optimization of said inefficient parts.

3. The system according to claim 1, which uses visual information analysis means to detect minute defects in a product with high accuracy and automatically identifies the defects and proposes countermeasures.