Sept 8, 2017: Avitas Systems, a GE Venture, in partnership with NVIDIA, an American technology company based in Santa Clara, California has decided to use some of the most recent advances in artificial intelligence (AI) computing to optimise the use of robotics for inspection and enhanced detect defects on industrial assets with superior data analytics.
The company is using NVIDIA DGX-1 and DGX Station systems for AI training involved in automated defect recognition. Avitas Systems data scientists build neural networks for image classification and generative adversarial neural networks to minimise the amount of work involved in labeling captured images. NVIDIA permits Avitas Systems to train software to process many different images and determine when it is ready to identify defects, following a variety of models.
“Working with NVIDIA allows us to fully commercialize our cutting-edge, self-service AI Workbench, and we look forward to expanding its capabilities using the new NVIDIA DGX Stations with Volta,” said Alex Tepper, Founder and Head of Corporate and Business Development at Avitas Systems. “With our workbench, our engineers can easily create and access new deep learning models that train the software deployed to recognize defects automatically at inspection sites.
“Avitas Systems is breaking new ground by bringing NVIDIA DGX Station beyond the deskside and into the field for the first time,” said Jim McHugh, General Manager of DGX Systems for NVIDIA. “Using our latest DGX systems to help train robots and better predict industrial defects increases worker safety, protects the environment, and leads to substantial cost savings for companies.”