High-speed drawing of copper coated material risks damage to a critical die, leading to costly production wastage. NSW’s innovative solution ensures real-time monitoring, preventing deviations and enhancing efficiency.
A leading manufacturer of automotive subassemblies required a rapid end-of-line automatic test bench to ensure the quality of the entire product.
Addressing the challenge of maintaining steady air supply in fluctuating manufacturing demand, the NSW solution employs AI-driven monitoring and adjustments.
By analyzing real-time data, it ensures optimal air delivery, offers early warnings, and prioritizes inspections, effectively preventing disruptions and reducing operational costs.
In this case study, NSW’s AI and Machine Learning solution tackles wear in CNC machine tools. By employing Deep Learning and regression, the solution offers real-time, in-situ alerts for tool quality deviations, enhancing efficiency, cutting costs, and boosting productivity. Experience amplified profitability through zero scraps, reduced waste, and optimized operations.
