Better Sorting of Wood from Bulky Waste Using AI and Sensors
FNR Press Release / July 7, 2026
A new, multimodal approach with promising results
AI and modern sensor technology can help recover wood from bulky waste more efficiently, at lower cost, and in larger quantities, thereby strengthening the principles of the circular economy. A research consortium coordinated by the Fraunhofer Institute for Optronics, System Technologies, and Image Processing IOSB developed a corresponding method based on four different sensor types and AI as part of the ASKIVIT project. In practical measurement series, the approach achieved a sorting accuracy of over 95 percent.
The ASKIVIT project was funded by the Federal Ministry of Agriculture, Food, and Home Affairs (BMLEH). The final report is available at projekte.fnr.de under grant number 2220HV048.
Read the full press release and learn more about our ASKIVIT project; see the links in the tiles on the right.
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB