Aim of the project is to utilize at best the wood blocks by reducing discards. This is performed by introducing a new software module in the mechanical process that from walnut blanks conducts to the production of specific pieces.
The software receives in input the slices acquired by a tomograph through which the wood transits before to be passed to the next machine of the production line. A 3D shape of the wood block is reconstructed and a deep-learning neural net classifies the voxels into good or defect class.
A priori knowledge of the 3D designs of each single product and its characteristics permits to choice the most suitable one to be built from that block.