Wood Species Recognition ALGORITHM

A YOLO-based computer vision model trained to classify different wood species in real time. Integrated with a webcam and robotic fabrication workflow, the system enables:

• Automated species detection during milling.

• Adaptive toolpath and speed adjustments based on material.

• Potential applications in timber sorting and quality control.

Next steps include expanding the dataset and refining accuracy under varied lighting and surface conditions.

Institution: University of Pennsylvania

Lab: Advanced Research and Innovation lab

Instructor: Patrick Danahy, Alicia Nahmad Vazquez

Co-Instructor: Mahsa Masalegoo

Lab Managers: Nicholas Sideropoulos, Shunta Moriuchi

In Collaboration with: Burcu Gocen, Zitong Ren, Qingyang Xu.