Automatic defect detection in leather
with Deep Learning
models
BADER is an international premium-leather-producing company at the forefront of its industry in technology adoption and sustainable practices. With over 12,000 employees across five continents. Among its prominent clientele are world-class brands such as Lamborghini, Tesla, Porsche, BMW, and Audi.
Bader's premium products are used by pioneering companies like Tesla. Source: Bader.
CHALLENGE
Exceptional quality control of leather is labor intensive. Pieces are carefully inspected by multiple trained technicians, to verify that only the highest-quality leather is delivered to clients.
Also, defects in leather can be very small or subtle in appearance, making them difficult to detect.
Exceptional quality control of leather is labor intensive. Pieces are carefully inspected by multiple trained technicians, to verify that only the highest-quality leather is delivered to clients.
Also, defects in leather can be very small or subtle in appearance, making them difficult to detect.
SOLUTION
We partnered with our friends at Pensur, an industrial engineering company, to develop for BADER an assisted quality control station for leather pieces.
We developed deep-learning models that detect potential defects with very high accuracy and pinpoint them for the technician, who can now check the leather in a fraction of the time.
We partnered with our friends at Pensur, an industrial engineering company, to develop for BADER an assisted quality control station for leather pieces.
We developed deep-learning models that detect potential defects with very high accuracy and pinpoint them for the technician, who can now check the leather in a fraction of the time.
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