AI case study

Wieland GroupVisual quality inspection

Reflective surfaces bottlenecked manual checks. A vision model trained on augmented data now inspects 1M parts weekly.

Published|1 year ago

Key results

Weekly Inspection Capacity
1M
Products Supported
50+

Result highlights

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The story

Context

The global market leader for semifinished copper products and system solutions employs 9,500 people across 80 locations with a turnover of 6.3 billion euros.

Challenge

Manual visual inspection required disproportionate effort to maintain quality standards given the complexity of round, reflective metal surfaces....

Solution
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The company

Wieland Group logo

Wieland Group

wieland.com

Manufacturer of semi-finished copper and copper alloy products for global industries.

IndustryIndustrial & Manufacturing
LocationUlm, BW, Germany
Employees5K-10K
Founded1820

The implementation partner

Capgemini logo

Capgemini

capgemini.com
IndustryProfessional Services
LocationParis, France
Employees100K+
Founded1967

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