#37 – Anomalous is Using AI to Make Inspection More Accurate

Today I am speaking with Euan Wielewski, co-founder and CEO at Anomalous Technologies. Anomalous is a start-up based in Edinburgh, Scotland that uses the latest machine learning and artificial intelligence (AI) technologies to enable better quality control of manufactured components. As aerospace engineers we know that quality control and inspection of flight-critical hardware is essential for guaranteeing safe operation of aircraft. Human visual inspection is a subjective and analogue process, which means that flight hardware is typically double and triple-checked to high levels of accuracy. This is where the AI tools developed by Anomalous Technologies are invaluable. By making inspection digital, operational traceability is immediately enhanced. Furthermore, digitisation allows the human inspection process to be accompanied by statistical tools that reduce the error rate of missed defects and improve inspection efficiency. Anomalous are already working with global aerospace companies such as Rolls Royce and Boeing, and the company is currently a member of the first cohort of the ATI Boeing Accelerator. In this episode of the podcast, Euan and I talk about:

• his broad background in aerospace engineering
• the challenges of human inspection
• how data-centric methods such as AI tools can help improve inspection accuracy and efficiency
• and how Anomalous is using their analytic tools to help out in the current Coronavirus pandemic.

If you want to learn more about the topics discussed in this episode, then you can find show notes with links to more in-depth material on the aerospace engineering blog. If you want to support the show then please leave a review; share it on social media with your friends and family; or support the podcast directly on Patreon. Thanks a lot for listening!