All the way from edge to intelligence to accelerate the adoption of smart manufacturing
summary
Shows concrete deployments: a vision-equipped robot that learns a new plant type in 15 minutes and robot picks 500 plants after 15-minute training, cutting manual inspection and defects; an EtherCAT/CODESYS edge controller with slice I/O used for real-time motion and PLC offload on production lines; a new edge server family packing NVIDIA/Intel GPUs at the edge and multi‑core processing to run local analytics, reduce latency, and integrate with partner vision stacks — examples in agriculture and textile with small test teams and measurable defect-rate improvements.
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chapters (9)
- 0:00Smart manufacturing acceleration
- 5:04Real-time analytics at the edge
- 10:17AI in computer architecture
- 15:25Digitization challenges
- 20:01AI and robotics in quality
- 25:08Technology partners
- 30:09Real-time control systems
- 35:14Migration to intelligent computing
- 40:37Closing remarks
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