This prototype will use machine learning to identify defects in manufacturing, improve the quality of the end product, reduce waste and save money.
BAE Systems is interested in an artificial intelligence (AI) vision inspection system which can, once proven, roll-out as a tool to assist with testing and quality checks across various assembly, manufacturing and build stages. This will encompass image categorisation, for build verification and quality checks, and inform “go” or “no go” decisions. The solution will need to be extremely quick and easy to train up and deploy, requiring minimal datasets to run, as well as scalable to new assemblies and build stages.
You can read more about BAE Systems and the two challenges here.
Machine Intelligence Ltd develops computer vision and machine learning techniques for industry and academia. It offers expertise in systems integration, software development and artificial intelligence (AI).
Using a novel machine learning technique, this solution will identify defects in manufacturing, improve the quality of the end product, reduce waste and save money. The highly-accurate system can recognise defects within camera images and will further improve the inspection process, which has typically relied on people, and more recently relies on using computer vision and AI. With the ability to learn from a small number of examples, it generates robust machine learning models that can be inspected and improved by a human expert.
For industry the solution will:
“The Made Smarter Technology Accelerator programme will allow Machine Intelligence Ltd to demonstrate its technology in new application areas. We look forward to working with BAE Systems to expand not only our knowledge, but our market reach.” Simon Harding, Director, Machine Intelligence Ltd
On 23 June 2021, the programme proudly presented the first phase insights and learnings for industry in an online event. Watch the Machine Intelligence pitch here: