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GFT at IMTS 2024 – Manufacturing data engine and AI-automated visual inspection demo
“ We’ ve implemented point solutions, such as computer vision AI for visual inspection, to detect defects in production,” he says.“ This can then be extended to root cause analysis by adding traditional manufacturing data. Once we identify root causes, we can create alerts or automation to prevent defects.”
This automation capability will transform manufacturing operations in the near term, according to Brandon.
“ These solutions don’ t replace humans, they augment their roles by providing new upskilling and enabling data-driven decisions,” he notes.“ This is already happening, and the industry is starting to see the benefits.”
Despite the promise, AI implementation faces obstacles – most notably the persistent issue of data siloing.
“ Manufacturing generates vast amounts of data that’ s crucial for process automation, but connecting and‘ rightsizing’ that data for AI use cases has always been challenging,” Brandon explains.
To overcome these barriers, Fabien argues that integrating AI with existing systems – CRMs, ERPs, PLMs and MES – provides a solution. AI can enhance these systems with flexibility and speed, enabling manufacturers to make informed decisions.
GFT partnership with Google Cloud enables factory-wide AI implementation The collaboration between GFT and Google Cloud addresses these data integration issues head-on through a platform solution designed specifically for manufacturing environments.
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