Most of the quality control methods currently used in the quality measurement of manufacturing processes are still destructive, thus generating considerable amounts of waste and reducing productivity. Indeed, this type of inspection service entails time-consuming rework stages and expensive defect repairs, sometimes even leading to the rejection of entire batches. To mitigate these challenges, non-destructive inspection (NDI) techniques have emerged to pave the road to reduced waste production during manufacturing and quality control. However, current NDI technologies still entail some limitations such as their high purchasing cost or their complex technical and digital integration.

To tackle these limitations while achieving zero-defect and sustainable manufacturing through the optimization of product quality control and monitoring, ZDZW proposes to provide advanced inspection technologies that would be compatible with digitally enabled manufacturing processes. Specifically, ZDZW will leverage artificial intelligence techniques to create comprehensive machine learning and digital twin-enabled solutions for enhanced manufacturing.

All in all, ZDZW aims to offer a set of digitally enabled NDI services through the creation of three inspection suites for product integrity, visual properties, and thermal processes monitoring, which will be validated in five different industrial sectors.