We continue with our next expert in artificial intelligence and process monitoring in the CLASCO interview series.

ZPrime, based in the UK, brings cutting-edge AI and machine learning technology to the CLASCO project. In this interview, Morad Danishvar shares insights into their role in using artificial intelligence for data monitoring, defect detection, and closed-loop control to optimize process parameters.

ZPrime’s technology enables the precise and real-time extraction of process sensor data, integrating it with machine learning algorithms for accurate defect detection and prediction. By identifying potential issues before they occur, ZPrime helps ensure high-quality outcomes in additive manufacturing processes. This proactive approach to process monitoring and defect prevention is key to the success of the CLASCO project.

Their contribution is helping CLASCO to push the boundaries of smart manufacturing, bringing more efficient and reliable production processes to Europe.

The interview with Morad Danishvar is part of a series highlighting the diverse strengths of the CLASCO consortium.

YouTube Video: https://youtu.be/6bQmaCnT1DE

Learn more on ZPrime’s website: https://zprime.ai/