Multi-sensor Data Fusion for In-line Visual Inspection

Visual inspection is the cornerstone of most quality control workflows. When performed by humans the process is expensive, prone to error, and inefficient: a 10%-20% pseudo scrap and slippage rate and production bottlenecks are not uncommon. Under the name IQZeProd (Inline Quality control for Zero-error Products), researchers at Fraunhofer IWU are developing new, inline monitoring solutions to recognize defects as early in the production process as possible for a variety of materials such as wood, plastics, metals, and painted surfaces.