Integrated process management method and system using machine learning model
AssigneeCREFLE Inc.
InventorEunseok Seo
Life of this patent
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Abstract
An artificial intelligence-based process optimization management system may include: a reading module that, when receiving instruction data recorded for an optimal execution determined among a plurality of executions that are performed in different progress sequences of unit processes, which are part of a process for manufacturing a product, generates work data, which is a result of reading image data for a process that progresses on an object, so as to correspond to the instruction data; a detection module that receives the work data from the reading module and generates defect information for the process by comparing the work data with the instruction data; and an output module that outputs the defect information.
Claims11
An artificial intelligence-based process optimization management system comprising:
- a reading module that, when receiving instruction data recorded for an optimal execution determined among a plurality of executions that are performed in different progress sequences of unit processes, which are part of a process for manufacturing a product, generates work data, which is a result of reading image data for a process that progresses on an object, so as to correspond to the instruction data;
- a detection module that receives the work data from the reading module and detects whether the process is normal or defective by comparing the work data with the instruction data;
- and
- an output module that outputs a detection result of the detection module.
An artificial intelligence-based process optimization management method comprising:
- a step in which a reading module receives instruction data recorded for optimal execution determined among a plurality of executions in which the unit processes are executed in different sequences;
- a step in which the reading module generates image data for a process that progresses on an object, and generates work data, which is a result of reading the image data, so as to correspond to the instruction data;
- a step in which a detection module receives the work data and generates defect information about the process by comparing the work data with the instruction data;
- and
- a step in which an output module receives and outputs the defect information.
Dependencies are inferred from the claim text.