Case Study - Siemens

Siemens building products are widely used in residential and commercial environments. Many of these products are safety-critical, making rigorous quality standards a top priority. This places high demands on visual inspection systems - demands that must be consistently met.

Growing product variety made it hard for Siemens to scale traditional visual inspection systems. Setting up and calibrating vision jobs for new product variants took significant time and effort. Missing defect images led to false negatives, wasting time on investigating issues that did not exist.

Ethon’s visual quality solution integrated plug & play across Siemens plants, despite varying environmental conditions such as lighting. It enabled real-time defect identification for new product variants within minutes, without complex reconfiguration. In addition, the system supports structured root cause analysis and end-to-end traceability for every unit across all product variants.

$10M+ in savings: Through deployment of Ethon's Industrial AI platfrom across 20 factories with further expansion planed.

Higher productivity: By cutting inspection setup time from days to minutes, automating visual inspection, every deployment saves $34,000–$115,000.

Zero complaints: Siemens made a step change towards its 0-customer complaint target by reducing false negatives.