Video vision inspection system solino® RTI

electro-opticalLEDoptical

Customer task: Pin nozzle filters are precision micro‑perforated components used in filtration, fluid control and dosing. Manufacturers need reliable inspection to verify micro‑hole arrays, hole geometry, edge condition, surface finish and contamination inside holes.

Inspection challenges: Conventional vision struggles with these parts due to micro‑scale repetitive features and reflective metal surfaces. Typical challenges include:

• strong specular reflections and glare on polished or machined metals
• hundreds of small, repetitive holes requiring consistent detection
• burrs and edge defects at hole boundaries that affect flow
• depth and shadow variations inside holes that alter appearance with lighting
• particles, residues or blockages inside micro‑holes
• surface finishing variations (machining marks, polishing differences) that mask defects
• process variability across the component causing inconsistent surfaces

Technology principle: The solino® RTI sensor applies BRDF‑based computational imaging. In milliseconds it captures a series of 64 images under multi‑directional illumination and reconstructs reflectance information to reveal surface structures otherwise hidden. Key elements:

• 64 multi‑directional LED illumination (integrated dome)
• photometric stereo image capture
• reflectance‑based surface reconstruction
• computational defect enhancement

Application: The solino® 50×50 sensor inspects pin nozzle filters after drilling, machining or finishing. Typical targets:

• micro‑hole arrays and perforation patterns
• bore edges and hole geometry
• filter plate surface finish
• contamination, particles and blockages inside holes
• structural uniformity across the component

Capturing 64 illumination directions enhances contrast of both surface anomalies and structural irregularities.

Technology benefits: Controlled multi‑directional illumination and computational reconstruction improve detection of:

• burrs and edge defects around micro‑holes
• contamination or blockages inside holes
• micro scratches and machining marks
• surface roughness variations across the plate

This approach is especially effective on reflective metal parts with repetitive micro‑features.

Solution architecture: Typical system components:

• solino® RTI sensor with integrated 64 LED dome illumination
• high‑resolution 20 MP industrial camera (system component)
• solinoStudio software for acquisition, reconstruction and analysis

The compact sensor is easy to integrate into automated production lines or inspection stations. Typical workflow:

• place filter component under the solino® sensor
• capture a series of images under varying illumination directions
• reconstruct surface reflectance computationally
• analyze and visualize results in solinoStudio

Conclusion: By combining controlled multi‑directional illumination with BRDF‑based computational imaging, the solino® RTI sensor reveals micro‑scale surface structures and defects that conventional vision misses. This enables reliable inspection of pin nozzle filters, earlier defect detection and consistent quality for filtration and fluid control applications.

Technical specifications:

• BRDF‑based computational imaging principle
• Capture of 64 images under multiple illumination directions
• 64 multi‑directional LED illumination (integrated dome)
• Photometric stereo capture and reflectance‑based surface reconstruction
• Computational defect enhancement and structural CPI imaging modes
• Typical sensor: solino® 50×50 sensor / solino® RTI sensor
• Item number referenced on page: 100-SO-50-MAN-001 solino® 50x50-Viewer & Stand
• High‑resolution 20 MP industrial camera (system component)
• solinoStudio software for acquisition, reconstruction and analysis
• Compact design for integration into automated production or inspection stations