The algorithm for the Sellafield challenge uses an extension of the R-CNN called the Mask R-CNN. The R-CNN algorithm (Region based Convolutional Neural Network) can detect and classify objects within images, it focuses on variations of colour, texture and scale within an image to form a region.
“I really like the look and feel of the software and I’m impressed how well the neural network is identifying the key elements of damage, it’s very good!”
Gareth Myers, Technical Researcher, Project Lead, Sellafield Ltd
“We are delighted that Cerberus Nuclear helped make a difference at Sellafield Ltd. The Data Science team have delivered a great solution, bringing modern techniques to the nuclear industry.”
Daniel Cork, Director, Cerberus Nuclear
Sellafield Ltd are currently using ANDI to enhance their damage inspection work flow which, prior to using the software, had taken many man-hours to identify, categorise and log.
Cerberus Nuclear are proud to announce ANDI has recently been a key feature for inTechBrew. inTechBrew promotes the latest high Technology Readiness Level (TRL) nuclear industry innovations across UK and Europe.