solino™ Technology
solinoTM is based on specially developed algorithms that analyze the scattering pulse of incident light on surfaces and extract anomalies.
These in turn are displayed as individual images that show the error, defect or change as a contrast or color change.
Thanks to solinoTM , the images acquired with the IM-solino 10x12 are cleaned, so to speak - faint object anomalies are highlighted and can be recognized as clearly dominant image information.
We consider the appearance of the surface as a combination of light and three other production parameters:
- Material
- Shape
- Tint
The visual image information collected is the perceived color as a result of the interaction between light and surface.
The LED illumination is a known parameter, as is the camera sensor.
solino™ defines relative quality rules that depend on the hardware but are based on human perception. The goal is to obtain an automated inspection system that digitizes visual perception.
solino™ digitizes the visual appearance of objects
The visual appearance of objects is determined by the way they reflect light.
The color of objects is determined by the parts of the light spectrum that are reflected or transmitted without being absorbed.
We can also say that the appearance characteristics of an object are based on the directional distribution of reflected light (BRDF - Bidirectional Reflectance Distribution Function), i.e. the computationally decomposed measurement by solino™.
The appearance could be described by attributes such as matte vs. high gloss.
Matte
- does not reflect light and is less glossy
- softer images and colors with a wider tonal range
- soft and supple to the touch
High gloss
- highly reflective for radiant shine
- more vivid, saturated colors that highlight details
- glossy, wet look that provides a striking appearance
solino™ analyzes the scattering reaction
solinoTM offers significant added value in the digital interpretation and classification of image data for repeatable and reliable quality assurance.
The scattering behavior is based on the surface structure and is the ideal digital footprint of a product. In a solino™ data set, all relevant object information is stored in coded form:
- geometric shapes and positional deviations
- color, waviness and roughness
- anomalies
- etc.
