AI-powered 2D/3D visual quality assessment of extruded square and round CAT/DPF substrates

Quality assessment of extruded ceramic catalytic converter substrates is critical for the early detection of anomalies that could compromise product integrity or lead to failures in downstream processes. A comprehensive, multilayered inspection covering all measurements—including edges, sides, faces, and the honeycomb structure—ensures that each substrate meets the highest quality standards before moving to the coating process.

By automating the visual inspection, the process becomes more consistent, efficient, and ergonomic, improving operator safety and reducing manual intervention. The system utilizes advanced machine vision technology, integrating scanners and AI-powered area scan cameras to detect defects, even on fragile ceramic surfaces, with minimal physical contact. This non-invasive method maintains the structural integrity of the parts while delivering precise quality control as they progress through the production line.