Atlas Copco needed reliable defect detection to prevent costly returns. Faktion's AI-driven computer vision solution automated inspections, ensuring consistent quality, faster production cycles, and enhanced customer trust.
In our rotor production line, even a single undetected defect can trigger batch recalls worth hundreds of thousands. We needed a scalable AI-driven inspection system to minimize that risk and reinforce our quality leadership.
Atlas Copco is a global industrial leader specialising in manufacturing advanced air compressors and industrial machinery components, including high-precision rotors and casings essential for compressor operations. In their relentless pursuit of operational excellence, Atlas Copco sought to significantly reduce costly defect-related returns by accurately identifying product defects before shipment. Traditional manual inspection methods were insufficient, resulting in occasional missed defects which resulted in high return costs and potential reputation damage.
Key underlying factors causing this critical quality control challenge included:
Atlas Copco’s ambition was clear: ensure consistent defect-free deliveries to maintain customer trust. Achieving this required an automated visual inspection capability leveraging AI, something manual inspection alone simply could not deliver.
Jeroen Boeye – Head of AI, Faktion
Faktion designed and implemented an advanced computer vision solution to automate the detection of subtle defects, significantly enhancing quality control reliability. Central to this was the establishment of a comprehensive MLOps framework based on Azure Machine Learning, empowering Atlas Copco to consolidate and standardise all machine learning initiatives company-wide.
The innovative aspects of the solution included:
The combined solution empowered Atlas Copco’s internal teams by reducing dependency on external experts. Teams could now independently train, iterate, and fine-tune their ML models rapidly and consistently, dramatically accelerating AI adoption.
Faktion’s approach to delivering the solution included:
This structured, collaborative process provided Atlas Copco a sustainable, scalable foundation for ongoing AI-driven quality improvements across the organisation.
Since implementing Faktion’s computer vision solution, Atlas Copco achieved critical improvements in the quality inspection workflow and operational consistency:
The broader impact on Atlas Copco’s business included strengthened customer confidence, reduced risk of costly product returns, and enhanced competitive differentiation through increased reliability and product quality consistency.
.png)
