Metallic, highly reflective surfaces are among the most challenging objects to inspect in machine vision applications. Reflections obscure details, defects often only become apparent from certain angles, and the quality of manual visual inspections varies throughout the working day.
The Austrian company Danube Dynamics, in collaboration with EVVA, a manufacturer of mechatronic access solutions, demonstrates how these challenges can be managed with an AI-supported testing system. The system captures components placed in an orderly manner in a box in one step, automatically assesses surface defects, and integrates quality control reproducibly into the production process.
