GE’s Avitas Systems and NVIDIA are collaborating to enhance AI computing for better robotic inspections and detection of defects plaguing industrial assets.
According to a GE news report, Avitas targets specific points of inspection and develops paths to collect data in the form of images and video for a variety of robotics, including drones, robotic crawlers, and autonomous underwater vehicles (AUV). These paths, driven by 3D models, can be repeated from the same angles and locations.
Moreover the paths’ repeatability results in a wide variety of images being captured over time which can then be inputted into the Avitas Systems cloud-based platform; this allows advanced image analytics to detect changes and measure exact defects on an industrial asset, such as cracks and corrosion.
The platform can also rate the severity of defects, oftentimes not visible to the human eye, allowing customers to determine when equipment needs to be replaced and enabling earlier resolution of potential issues.
Avitas will use NVIDIA DGX-1 and DGX Station systems for AI training involved in automated defect recognition. The systems allow Avitas to train software to process many different images and determine when it is ready to identify defects, following a variety of models.
Avitas will store its deep learning models in an AI Workbench, an innovative solution that can process inspection data in real-time and retrain the models to adapt to new use cases.
“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.”
Image and content: Alstom Inspection Robotics/GE