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CPI Feature Extract

Artificial sight is ready for AI to analyze the visual appearance of surfaces based on Reflectance Imaging Technology.

Solino CPI algorithms combine images captured with varying light angles of incidence to generate a particular image featuring a complete, highly accurate digital footprint of a recorded surface. The enormous amount of information stored in a solinoTM dataset far exceeds standard image acquisition. As a result, solino technology enables new levels of evaluation criteria to be established since the solino algorithms can detect surface anomalies that have not yet been characterized in any specification or standard.

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solino® CPI

(Computation of particular Images)

CPI is a software solution to compute one (particular) image from one image set, considering the consistency and calibration of the image input. The acquisition consistency drives BRDF information, and CPI permits decomposing this information in sub-layers, with an image as a sub-layer.

Each (particular) image results from multiple operations – processing from pixel values distribution. To improve Quality Control processes, CPI provides an image gallery to explore surface anomalies as a first step towards an automated inspection driven by humans and powered by AI.

Representation of product features as image information

When identifying and determining surface defects, it is essential to recognize the defect in the image or find it repeatedly, regardless of the environmental conditions. The same applies to similar anomalies, which must be recognized and displayed accordingly.

SolinoT® was developed for this purpose. Non-relevant image information is deliberately suppressed, and anomalies are highlighted. The image is cleaned of unimportant factors, resulting in a repeatable and reliable image analysis.

SolinoViewer user interface

The SolinoViewer supplied with our Solino 10×12 enables a live image display and a preview of four processed CPI anomaly images.

A total of more than 200 algorithms are available for the analysis and evaluation of the 64 individual images, according to which the

 result images are displayed. The selection is made via a drop-down menu (see the image on the right).

The solinoViewer offers:

  • an intuitive user interface for identifying product defects or anomalies
  • a slider image manager with one widget per image
  • the solino Image Editor for batch processing of stereo-photometric images
  • a selective list of image processing processes to be output
  • the selection of the colour channel to be processed

 

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