Among the most interesting measurements that artificial vision can perform we have dimensional analysis.
As a matter of fact, during defectiveness checking, for various materials, in addition to different kinds of problems it’s also possible to detect the dimensions we are interested in. For fabrics our systems are able to obtain information like weave defects and dimensions, color issues and disuniformities.
In addition to material analysis it’s also possible to perform various checks on products. For example dimensional and positional recognition, presence/absence detection, shaping and pattern-matching.
Different signals can be provided depending on the detected issue or a discard signal can be directly sent to the corresponding system. All the defects can be stored in a database with customer, product, order, defect geometry, dimension, position, pigmentation, date and time. It’s also possible to record data pertaining to the kind of defect that has been detected (not respected weave, stain, …) and specific for a certain production, for example like coloring (trichromy, quadrichromy or Hue-Saturation-Luminance). In addition to a chromatic analysis, through the elaboration of acquired images, it’s possible to also perform dimensional and morphological ones.