In most cases visual inspection of the hot strip by an inspector (in real time or videotaped) is a difficult task. The issues in this project study are data modeling, Machine Learning (ML) model - neural networks (NN) modeling and reliability of such models for automatic detection and classification of defects of hot strips. The proposed study intends to develop general guidelines for developing NN model for automatic surface inspection for hot strip mills.
展开▼
