Important leather tanning company
Identification of defects in natural skin with machine vision techniques. This makes it possible to be more effective in detecting imperfections in the product and to classify it according to its quality. This takes much less time than visual inspections.
The aim was to have a system capable of capitalising on the knowledge of the operators and to standardise and improve the speed of the skin sorting process.
To this end, a high-resolution computer vision system based on deep learning techniques was developed. First of all, it is able to identify possible defects in the skins. Subsequently, using machine learning techniques, it classifies the skins based on the defects detected and considering their position, number and type.
This system helps the company to streamline the sorting process by increasing its productivity, as well as to avoid possible sorting inconsistencies by multiple users. Another advantage is that the time required for operators to learn the sorting process is reduced.