IDS case study: Lamp on, lamp off?
AI-based end-of-line inspection in the automotive and commercial vehicle sector
Manufacturing operations today face immense pressure: a greater variety of products, shorter delivery times, and rising demands for precision make visual quality control one of the biggest challenges in the production industry. Traditional manual inspections quickly reach their limits.
Our recent case study focuses on the automated end-of-line inspection of multi-chamber lamps. We demonstrate how Danube Dynamics and Aspöck Systems use the AI solution ‘auros for quality’ and two uEye XCP cameras each to design efficient inspection processes. Thanks to adaptive AI, robust camera technology, and local edge processing, even complex inspection tasks can be handled reliably – regardless of orientation, contamination, or ambient lighting conditions.
Discover how Aspöck Systems uses this solution to reduce error costs, increase flexibility in inspection processes and ensure quality at the highest level.
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