Scaling Industrial AI with Zero-Touch Deployment (Download)
Machine-learning (ML) deployment in industrial environments faces a significant scaling challenge when companies attempt to move beyond pilot projects.
While AI vision systems demonstrate considerable promise for manufacturing applications, the traditional approach of customizing models for each deployment site creates bottlenecks that can prevent widespread adoption. Every production line presents unique variations in lighting conditions, equipment positioning, product characteristics, and environmental factors that typically require costly onsite model tuning and retraining.