Metallic surface defect inspection is an essential and necessary process to control the qualities of industrial products. Metallic surface defect inspection / detection has attracted increasing interest in recent years and has achieved a positive improvement for the quality control in industrial applications like automobile, structure building etc. Machine learning models can prove to be an excellent inspection system for metal surface defects. Using Skyl.ai computer vision and deep learning-based model factories, and manufacturer can automate the production line for such metallic surface defect inspection and pass the feedback to the production line in real-time.
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