Predictive Quality Control / solino Application note J^)tO100-SO-50-MAN-001 Pin Nozzle Filter Opto solino RTI sensorDetecting micro defects in precision micro-hole structures with BRDF computational imaging Cu stomer Task: Pin nozzle filters are precision components used in filtration, fluid control and dosing applications. These parts consist of many micro-drilled holes that must meet strict quality and functional requirements. Even small defects can directly affect flow behavior, filtration performance and system reliability. Manufacturers therefore require reliable inspection methods for: • micro-hole arrays and perforation patterns • bore edges and hole geometry • surface quality of the filter plate • contamination inside micro-holes • machining and finishing quality The goal is to detect surface and structural defects early in the production process and ensure consistent performance of every filter component. Inspecting pin nozzle filters is particularly challenging for conventional machine vision systems due to the combination of micro-scale structures, reflective surfaces and complex Typical challenges include: • highly reflective metal like polished or machined metal creates glare and uncontrolled reflections that obscure defects. • large number of repetitive micro-holes with hundreds of small features must be inspected consistently and reliably. • burrs and edge defects at hole boundaries with even minimal burrs can affect flow behavior but are difficult to detect. • depth and shadow effects inside holes create changing reflectance depending on illumination direction. • contamination inside micro-holes as particles, residues or blockages may not be visible under fixed lighting conditions. • surface finishing variations like machining marks, polishing variations or wear can mask or imitate defects. • process variability across the part as differences in drilling or finishing can lead to inconsistent surface appearance. • conventional vision systems depend heavily on lighting setup and often fail to capture all relevant features consistently and leads to unstable inspection results Fig. 2: 100-SO-50-MAN-001 solino 50x50 - Viewer - Stand Opto GmbH • Floriansbogen 2/4 • 82061 Neuried • Germany • Tel: +49 89 8980 55 0 • info@opto-gm

Technology Principle Within milliseconds the system captures a series of 64 images under multiple illumination directions and reconstructs the surface reflectance information computationally. Key elements include: Typical inspection targets include: • micro-hole arrays and patterns • bore edges and hole quality • surface finishing of the filter plate • contamination and particle detection • structural uniformity across the component • 64 multi-directional LED illumination • photometric stereo image capture • reflectance-based surface reconstruction • computational defect enhancement Because the...