drive and control magazine
SKF and Amazon join forces to 're-invent' machine reliability – Drives and Controls Magazine
"AWS's engagement with SKF spotlights how machine–learning technologies, combined with scalability of the AWS cloud and condition-monitoring …
Camera with onboard deep learning tackles difficult apps - Drives and Controls Magazine
Sick has launched its first machine vision camera with a pre-installed deep learning app, making it easy to create custom inspections of complex or irregular-shaped goods, packaging and assemblies, especially those that have previously defied automation. The Sick Intelligent Inspection Deep Learning App runs on the company's recently-launched Inspector P621 2D programmable camera. The combined package allows machine-builders and end-users to set up vision classifications using AI (artificial intelligence) in a fraction of the time and cost needed to program traditional vision systems to perform challenging inspection tasks based on recognising preset rules and patterns. The new system can tackle applications where it was previously difficult to achieve consistent, repeatable quality inspections. It makes automation practical and affordable for complex tasks such as sorting fresh fruit and vegetables, checking the orientation of timber profiles by recognising the annual ring structure, checking leather car seats for creases or flaws, or inspecting the integrity of solder in surface-mount assemblies.
AI collaboration will let robots think for themselves - Drives and Controls Magazine
The Japanese robot-maker Fanuc has teamed up with the computer technology specialist Nvidia to apply artificial intelligence (AI) to robotics to boost productivity and to bring new capabilities to automated factories. The partners will use AI to give robots the ability to teach themselves to perform tasks faster and more efficiently, and to work together, so that a task that would previously have taken one robot eight hours to complete, could now be done by eight robots in an hour. The robots will be able to learn on their own, instead of being programmed painstakingly--for each function they need to perform. The technology is based on --deep learning"--software, accelerated using Nvidia GPUs (graphics processing units), which will support AI in the cloud, in data centres and embedded in devices. The AI will be implemented on Fanuc--s Field (Fanuc Intelligent Edge Link and Drive) platform, which combines AI with edge computing to process --edge-heavy-- sensor data from machines to allow them to collaborate intelligently and flexibly.