Research on wood defect detection based on deep learning

Wood defects limit the efficient use of wood, but this problem can be effectively avoided through wood defect detection. This paper analyzes the traditional wood defect detection method and the wood defect detection method based on deep learning. It is found that the method based on deep learning avoids the drawbacks of the traditional wood defect detection method to a certain extent and is more efficient.