A visualisation tool that displays the carbon emissions of parts during manufacture, augmented reality that can detect faults quickly in the field and machine learning models that can capture and correct errors in real-time, these are just a snapshot of the digital technologies DETI has developed and investigated in its first year—presented in the first edition of Digital Now.
DETI has produced pioneering results and undertaken vital research to accelerate digital adoption in engineering using a series of industrial test beds. Digital Now also shares key learnings from the DETI Skills team, who have worked closely with schools and colleges in the West of England to deliver inclusive STEM careers outreach in the form of innovative learning opportunities and events. Read more about the research highlights announced in the news announcement.
With another year remaining, DETI will be switching its focus to proving and enhancing results and proof of concept tools using the private 5G test bed built in partnership with the 5G ENCODE programme at the National Composites Centre.
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Read through the case study summaries. From a visualisation tool that displays the carbon emissions of parts during manufacture, augmented reality that can detect faults quickly in the field and machine learning models that can capture and correct errors in real-time, these are just a snapshot of the digital technologies DETI has developed and investigated in its first year.
Digital Catapult has partnered with the National Composites Centre (NCC) to drive innovation in the design and manufacturing of composites using Internet of Things (IoT) solutions, developing software that uses cutting-edge technology to calculate carbon footprint more accurately. This has culminated in a successful proof of concept for an application called the ‘eco-meter’.
Read about the results from Enabling Capability (EC) 1.4: Secure Inter-site Connectivity, a trial of the UK’s first industrial Quantum Key Distribution (QKD) network which demonstrates how this technology can be used to securely accelerate the shift to smart factories.
The National Composites Centre (NCC) has demonstrated a wireless 4G asset tracking solution as part of the DETI and 5G-Encode programmes. The system setup can monitor the condition and location of time-sensitive composite materials to improve quality metrics of Automatic Fibre Placement (AFP) manufacturing processes and operations productivity.
The University of the West of England has developed a novel software system based on state-of-the-art Machine Learning (ML) techniques that enables systems to access data and automatically learn and improve for themselves without being programmed. The proof -of-concept system that has been developed uses polarisation imaging technology and is able to automatically detect defects in carbon fibre composites.
