Quality monitoring system and quality monitoring method for fuel cell manufacturing line and quality monitoring system for manufacturing line

A quality monitoring method for a fuel cell manufacturing line, comprising:

• generating, by a first image collection unit, a captured first image of a surface of one fuel cell in one phase of the fuel cell manufacturing line;
• generating a set of feature vectors based on the captured first image;
• and
• accessing a defect model repository and generating a quality detection result of the fuel cell based on the set of feature vectors and the defect model repository, comprising:
• accessing a defect detection model repository of the defect model repository;
• determining whether the fuel cell is defective based on the set of feature vectors and the defect detection model repository;
• when the fuel cell is determined to be defective, accessing a defect classification model repository of the defect model repository;
• and
• determining a defect type of the defective fuel cell based on the set of feature vectors of the defective fuel cell and the defect classification model repository.

A quality monitoring system for a manufacturing line, comprising:

• an image collection unit configured to generate a captured image of a surface of a manufactured item in the manufacturing line;
• a real-time quality control computer coupled to the image collection unit and configured to receive the captured image and generate a set of feature vectors based on the captured image, wherein the real-time quality control computer comprises:
• a defect model repository comprising a defect detection model repository and a defect classification model repository;
• a defect detection module configured to access the defect detection model repository and determine whether the manufactured item is defective based on the set of feature vectors and the defect detection model repository;
• and
• a defect classification module configured to access the defect classification model repository when the defect detection module determines the manufactured item is defective and determine a defect type of the manufactured item based on the set of feature vectors of the manufactured item and the defect classification model repository.