UK’s high value manufacturing giants say artificial intelligence is key to the future of industrial inspection

UK’s high value manufacturing giants say artificial intelligence is key to the future of industrial inspection

Bristol, 25th January 2019 – A group of high-profile representatives from across the automotive, aerospace and engineering industries are calling for the widespread use of artificial intelligence (AI) technology during the industrial inspection process to help overcome the challenges associated with manual inspection.

Ai411 2Speakers from Airbus, Jaguar Land Rover and Rolls Royce, amongst others, used the Artificial Intelligence for Industrial Inspection (AI4II) event – hosted by the Centre for Modelling & Simulation (CFMS) in collaboration with the Bristol Robotics Lab – to highlight the need to replace manual inspection of high value components, such as aircraft wings or engines, with automated technology. The panel discussed AI-based technology as a means of overcoming high labour costs, human error and health and safety concerns – all largely associated with the need to speed up the inspection process in line with growing demand for high quality machinery that lasts.

When sufficiently trained, AI4II can identify defects in high value components using a combination of computer vision and AI technologies, saving manufacturers both time and money and freeing up their engineers to repair faults rather than identify them. 

Oliver Grellou, Non-Destructive Testing and Mechanical Testing Engineer at Airbus, said: “Full- scale, manual testing of real aircraft is a massive drain on our resources and needs to be eliminated in favour of more cost-effective, virtual inspections. Manual inspections of a wing, for example, can often be dangerous for our engineers who climb on or in confined spaces. Introducing smarter evaluation of these components with automated technology will be revolutionary for us and we hope to roll out this technology across our production processes in 2019.”

Dr. Iris Fermin, Innovation Lead Engineer at JLR, said: “Given the multiple specifications needed to make just one vehicle, our production lines are incredibly demanding, complex and hugely susceptible to human error. Using artificial intelligence to identify faults with our vehicles on the production line before they get to the dealers would be hugely beneficial in terms of both time and revenue saved. Our aim for the future would be that quality of cars can be checked solely by autonomous technology.” 

Dr. Bilal Nassar, Computer Vision Specialist at Rolls Royce, said: “The Innovation Hub at Rolls Royce explores radical new technologies and business concepts across AI and computer vision, which reflect the need for automated inspection across UK manufacturing. By training AI technology to quickly investigate our components, we are transforming the way we work, freeing up resources which we can put into delivering new and exciting projects.”

CFMS, which is an independent, not-for-profit specialist in digital engineering capability, has been developing three demonstrators, one of which it presented to the panel and audience at the AI4II event held at Bristol and Bath Science Park. The demonstrators combine computer vision and AI technologies to automate the manual inspection process and counteract some of the challenges associated with manual inspection.

Kiran Krishnamurthy, AI domain specialist at CFMS, said: “Manufacturers are acutely aware of the problems faced when carrying out a manual industrial inspection, as demonstrated through a number of case studies at our event. AI is an opportunity to introduce innovation and new technology to the visual industrial inspection process, offering an automated, highly reliable, digital solution to these sector specific challenge. This has led for calls to rapidly replace the archaic manual inspection process with new automated technology.” 

Speakers at the event also included Bristol Robotics Laboratory’s Mark Hansen and Scorpion Vision’s Julian Parfitt, who discussed data collection, deep learning technology and the cross-sector application of autonomous inspection.  

Ends

Notes to editors 

For media enquiries, please contact Grayling on CFMS@grayling.com or 0117 910 6360. 

About CFMS 
The Centre for Modelling & Simulation (CFMS) is a not-for-profit specialist in digital engineering capability. As a trusted and neutral provider, our vision is to be the recognised, independent, digital test bed for the design of high value engineering products and processes.

Facilitating a greater understanding of how a product will perform throughout its lifecycle, our digital test bed forms the foundation for Through-Life Engineering Services, creating a virtual replica of systems and processes used for investigation of options and opportunities, in advance of physical development.

Through four core service lines and activities, we enable our customers to accelerate design and manufacturing productivity and competitiveness for their products, processes and services;

  • Integrated system architectures that can deliver improved performance
  • Greater insight into the performance of products or processes in service
  • More informed decision making based on simulated or real world data
  • Cost effective access to state-of the art computational infrastructure

For further information about how CFMS can help your organisation, visit www.cfms.org.uk, call 0117 906 1100 or email info@cfms.org.uk.

Sign Up To Our Newsletter and Events