Electrical product appearance defect detection method based on network collaboration

Abstract

The invention relates to an electrical product appearance defect detection method based on network collaboration. In electrical product appearance detection, a man-machine cooperation technology is utilized to collect detection samples, a deep learning mechanism is superposed to dynamically optimize an electrical appliance appearance detection model, and finally an electrical appliance appearance detection model expert database is formed. At present, a traditional appearance detection system in the electric appliance industry is high in requirement and can be operated by professionally trained personnel, and the system adopts detection data automatic learning, realizes an intelligent quality management analysis system, realizes detection standardization, reduces the influence of human factors on a detection result, improves the quality management level, reduces personnel deployment, and saves the production cost.

Description

technical field [0001] The invention relates to a method for detecting appearance defects of electrical products based on network collaboration, belonging to the technical fields of artificial intelligence and industrial control automation. Background technique [0002] With the in-depth development and advancement of intelligent manufacturing, industrial Internet, and artificial intelligence in my country, the application of various electrical equipment is increasing day by day, and the corresponding product quality and use safety issues cannot be ignored. At present, the intelligence of inspection methods and tools in the production and manufacturing of electrical equipment at the user end is still in its infancy in my country, which cannot meet the needs of the rapid development of the industry. [0003] At present, product appearance defect detection systems and devices based on deep learning generally include image display devices, servers, controllers, and the like. M...

AI Technical Summary

Problems solved by technology

The method disclosed in this patent application does not reflect the iterative training of the model, which limits the breadth of deep learning and the accuracy of the output model

[0006] The invention patent application with the application number 202010829978.4 discloses a kind of intelligent steel belt visual detection equipment. This patent application is more about using the model that has been trained and implemented for detection. There are no steps based on network collaboration and machine learning, which belongs to the traditional Visual Identification Inspection Solution

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