Wood Veneer Defect Detection System Based on Machine Vision

Abstract

In view of the problems of low surface detection efficiency and high error detection rate in domestic wood skin, a corresponding detection system is designed to identify four types of wood skin defects such as dead knot, slipknot, hole and crack on the surface of the wood. Based on the image recognition of industrial cameras, the detection system can collect data in real time and quickly. Then the system can recognize and classify the collected images. The system is of great significance to the rational utilization of wood. The experimental results show that the detection system is safe and reliable, and has high accuracy.