Cut Wood (CW) is an RMT solution developed for the automated inspection of wooden boards in sawmill laboratories.

The system analyzes images of wood surfaces to detect knots and defects, supporting cutting and grading operations. By using deep learning techniques for visual analysis, CW enables reliable identification of wood features while allowing the balance between detection accuracy and processing speed to be adapted to specific operational needs.