In the recently launched FNR project in collaboration with the Fraunhofer Institute ITWM, the aim is to develop automated image recognition systems to identify wood species using artificial intelligence.
The largest share of wood consumed worldwide is used for paper production. In order to strengthen the trade with legal raw materials and to protect consumers, the used wood species are identified at the Thünen Institute. Within the framework of the new research project, automated (digital) image recognition systems using artificial intelligence (AI) are to be developed in order to fulfill the required declaration obligations with regard to species identification in accordance with the European Timber Trade Regulation (EUTR) in the trade and to be able to verify these declarations on a larger scale. For the identification of wood species, cut specimens of wood and, in the case of fibrous materials, individual cells are routinely investigated under a light microscope and examined by experts at great expense of time. Automated image recognition systems can mean an enormous reduction in work and time. The Fraunhofer Institute ITWM contributes its expertise by developing the specific algorithms and training the software by means of machine learning. The results are to be published scientifically and made available to all testing institutes for the control of internationally traded wood.
Contact Persons:
To the project:https://www.itwm.fraunhofer.de/en/departments/bv/surface-and-material-characterization/wood-species-identification-ai.html
To the Thünen poject side:
www.thuenen.de/en/hf/projects/automated-image-recognition-for-wood-species-identification/
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