In Q1 2026, an intelligent tool-changing station—equipped with high-resolution industrial cameras and deep learning algorithms—was deployed in a lithium battery manufacturing plant.
The system continuously monitors the wear morphology of tungsten carbide cutting blades and automatically triggers a replacement when chipping exceeds 0.02 mm², achieving a detection accuracy of 96.4%.
Pilot production line data showed a 71% reduction in unplanned downtime caused by cutting failures and a 43% improvement in overall tool utilization efficiency.
