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Classification into quality classes

Use Case

Classification into quality classes

Through standardized images of different leathers, a machine learning algorithm can classify leather and assign it to the right garments.



In the production process of clothes, materials are delivered by suppliers. The materials might have different qualities and these different qualities might be used for different clothes.



A camera can take standardized images of the leather surface and Machine Learning algorithms can learn how to classify leather into different quality classes.



Depending on the defined quality criteria the leather quality is determined and is associated to the related cloth production process.

More Use Cases

Handwritten documents can be read out and prefilled using machine learning algorithms. By further input, these documents can be edited again, which again benefits the accuracy of the algorithm.

Electronic patient records can be evaluated using machine learning algorithms. This automatically provides doctors with suggestions for diagnoses and therapy options.

Diagnostic suggestions can be made by analyzing X-ray or MRI images using an algorithm.

Companies working with thousands of customers and suppliers need to categorize their documents so that requests can be handled in time.

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