The system of copper strips surface defects inspection based on intelligent fusion

Directing towards the characteristics and importance of copper strips surface inspection, this paper proposes a copper strips surface inspection system based on artificial intelligence from the standpoint of artificial intelligence. It uses computer vision to capture defects images, uses Hu invariant moments as the eigenvectors and uses BP neural network based on genetic algorithm combined with expert system to train and learn the samples. The trained weights are used to diagnose as the knowledge base and a copper surface defects inspection system based on intelligent fusion is constructed . The experimental results proved that intelligent fusion model can compliment all kinds of intelligent models and has a better performance than single model on copper strips surface inspection.