DADA’s use of AI to automate Defect Detection featured in Space East Cluster

Our article was featured by Space East Cluster on using AI to automate Defect Detection.

In the article, we delve into enhancing sensor capabilities through AI and Big Data to refine defect detection processes and improve understanding of controllable factors.

Furthermore, we showcase the efficacy of predictive maintenance in anticipating asset failures by integrating asset monitoring data with Machine Learning (ML) and Digital Twins. We showed how ML-driven automated data analysis facilitates proactive maintenance strategies for optimal asset performance.

We showed how for industry-specific use cases, like the space industry, their Space East members can automatically train custom vision models with their own data.

Space East Cluster is funded by New Anglia Local Enterprise Partnership and UK Space Agency.