Smart vision sensor solino®

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Overview
solino® transforms how surface quality control is performed by enabling continuous, automated monitoring across a wide field of view using Reflectance Transformation Imaging (RTI). The sensor captures the visual appearance of materials via BRDF-based optical detection combined with computational algorithms, revealing anomalies beyond human perception and operating reliably under typical factory lighting.

Key capabilities

• Digitise the visual impression of any surface
• Assign a unique digital fingerprint (BRDF optical signature) to each sample
• Computational imaging sensor integrating hardware and software
• Plug & Play installation, ready for use in minutes
• Statistical and reproducible evaluation for batch inspection
• Eliminate specular reflections, including on shiny metals
• Predict product failure through AI correlation of BRDF data

Measured / derived surface attributes

• Colour, waviness and roughness
• Reflectivity and local inclination
• Surface stress indicators and microstructure anomalies

How solino® works

• Image acquisition: Photometric-stereo setup captures multiple images of the same surface using 64 calibrated LEDs with known positions and intensities.
• Compute BRDF-based images: From the 64-image set, solino generates specific images that reveal distinct visual information and remove irrelevant reflections; each image highlights particular characteristics (gloss, texture, structure).
• BRDF data extraction: Consistent capture and calibration produce complete BRDF information as a reliable data foundation for AI analysis.
• Anomaly visualization & analysis: Clean, repeatable Computational Particular Images (CPIs) are generated for anomaly heatmaps and AI image processing.

Software and integration
solinoStudio configures and executes image capture and CPI generation. The Studio Playground enables manual acquisition and preview, with settings saved in project files for consistent batch capture and processing. Imaging Modules SDK and solino CPI SDK support integration into customer software. The system supports industrial automation interfaces (I/O, Ethernet/IP, OPC UA) and can feed data to AI-driven inspection and MES/QMS systems.

Product options — Field of View
Available sample capture sizes: 10 x 10 mm, 25 x 25 mm, 50 x 50 mm. Detailed factsheet available for specifications and optical performance.

Applications & examples
Typical examples include electronic components, metal parts, PCBs, coins, crystals, leather and other surfaces requiring automated surface quality inspection and predictive anomaly detection.

Technical specifications

• Product name: solino® (computational imaging RTI sensor)
• Optical principle: BRDF (Bidirectional Reflection Distribution Function) measurement
• Illumination: 64 white LEDs arranged in a calibrated dome
• Measured outputs: colour, waviness, roughness, reflectivity, inclination, surface stress indicators, microstructure anomalies
• Sample size range: designed for samples between 10 x 10 mm and 50 x 50 mm (depending on FOV option)
• Field of view options: 10 x 10 mm; 25 x 25 mm; 50 x 50 mm
• Software: solinoStudio (live display, CPI preview, project files, batch processing)
• SDKs: Imaging Modules SDK and solino CPI SDK for integration
• Industrial interfaces: I/O, Ethernet/IP, OPC UA (for inline automation and MES/QMS logging)
• Image processing: CPI generation and >200 analysis/evaluation algorithms available in the Studio environment
• Typical processing time: depends on PC hardware; can be under 5 seconds per capture on adequate systems
• Use cases: automated surface inspection, anomaly detection, AI-driven predictive quality control