Leather inspection and classification with HALCON

Another successful implementation of HALCON’s deep learning technologies in the classification of leather types and quality inspection with two real-world applications.

Both cases present short development time and minimal error rates. The first application is for the clothing industry in which different types, colors and textures are classified prior to the production process. The second application is for the automotive industry where leather car seats undergo quality checks for defects.   You want to discover more success stories? Find all other MVBites in the according playlist.

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