Sandvik and Acconeer receive research grant for material classification

To capture the full potential of a production process, monitoring and collecting insights on the material flow between various equipment, such as crushers and screens, is crucial. In order to detect and analyze parameters such as particle size distribution and volume flow, the use of radar is a promising alternative to 2D and 3D cameras.

By joining forces with Swedish radar-manufacturer Acconeer, the aim is to develop a material classification system for rock crushing conveyor belt applications using Acconeer’s new radar sensor – while leveraging AI and machine learning algorithms to improve classification of measurements.
“We are proud and excited to have received this grant, and to work alongside Acconeer with their ground-breaking radar solutions. Together, we have the opportunity to provide our customers with even better operational insights in the future, while improving both the efficiency and reliability of their equipment”, says Johan Östergren, Director Connectivity, IoT and Digital Innovation at Sandvik Rock Processing Solutions.

The justification released by Vinnova when announcing the grant read:
“A well-written application with actors at the forefront. The automated material classification described is considered to have high potential with several different areas of application, in addition to the rock crusher that is in focus”.
The project is scheduled to begin in September, 2024, and be finalized during the second half of 2026.