レガシー・マシンを制御するプロキシ・インタープリタ・システム及びそのトレーニング方法

Japanese Patent JP7300757

B2

The present disclosure generally relates to upgrading existing automated legacy systems. More specifically, the present disclosure relates to system and method for a proxy interpreter system to collect and consolidate the setup, configuration, operation and quality inspection data from a plurality of interfacing devices and controllers of legacy systems and subsequently build a Reinforcement learning module using the consolidated data to perform all the functions automatically without the intervention of a human operator. The consolidated data in the proxy interpreter module may be further analysed using Deep learning methods for data analytics and artificial intelligence to reliably and consistently classify the defect criteria of products to further enhance the quality of the inspection. The defect criteria classification enables the Proxy interpreter system to highlight potential problems and aid in preventive maintenance of the legacy automated systems. The Proxy interpreter system enables legacy systems to adapt and scale to manufacture newer products with no human intervention whether it is related to operation of the legacy equipment or in the process of quality control.

Won Sung Wei
Kundapura Parameswara Shrinivas

JP2021138227A

June 30, 2023

August 26, 2021

Click for automatic bibliography generation  

Emage AI Pte Ltd

H01L21/02; G05B19/418; G06F11/34

JP2006099777A

CN109255805A
US20160300156

Patent Attorney Corporation Junias International Patent Office

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