With the rapid development of industrial automation technology,accurate and efficient quality control system has become the key to improve production efficiency and product quality.The traditional paper disease detection method relies on artificial vision,which has the problems of low efficiency and high error rate.In order to solve these problems,this paper studies and implements an intelligent paper disease detection system based on machine vision technology.The system utilizes advanced image processing technology and deep learning methods to automatically detect and classify paper disease types.Firstly,the complete system architecture including hardware configuration and software algorithm is designed,and then the effectiveness of the system is verified by strict testing in actual production environment.The test results show that the system can accurately identify various paper diseases in real time,and the accuracy and efficiency of detection are significantly improved.
关键词
机器视觉/纸病检测/图像处理/卷积神经网络/检测系统
Key words
machine vision/paper disease detection/image processing/convolutional neural network/detection system
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