With the increasing maturity of deep learning, machine vision systems combined with AI deep learning algorithms is being widely applied. The AI-based intelligent detection system is to provide early warning to prevent defective products. Quality assurance testing could be carried out at early stages of the production, so as to avoid defective components going into the next process. Compared with manual inspections, AI-based machine vision detection brings higher efficiency and accuracy 1 , and specific details and drawings of defective products can also be collected for analysis. The paper aims to propose an AI-based machine vision detection system, which may provide reference for intelligent quality testing in washing machine manufacturing.