AI, edge, and Google Distributed Cloud in Modern Manufacturing

Examples of these include artificial intelligence (AI), edge computing, and software infrastructure

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Google Distributed Cloud, which lets manufacturers use Google Cloud's latest AI, infrastructure, and security on-site, is spearheading this technological revolution

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Google Distributed Cloud, an agile platform for executing current shop floor apps, may be configured for OT security, latency, and availability

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Edge AI models can quickly and accurately visually analyse real-time high-resolution photo and video streams and find errors

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In AI-driven visual inspection, feeds from tens to hundreds of cameras must be processed in less than a second and the AI models' effectiveness checked

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Modern process control infrastructure may employ AI to reduce energy use and downtime, enhance quality and throughput, and alter small gear

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Augmented reality (AR) based on the edge improves maintenance and training protocols by decreasing human error and increasing task efficiency

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By adding AI capabilities to current production processes, ageing infrastructure can gain new capabilities and potentially avoid expensive overhauls

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Google Distributed Cloud on-premises scales well, runs reliably, and handles the toughest visual inspection workloads For more details govindhtech.com

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