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Fraunhofer IML

Inka Krischke,

The palette of the future

The 'Pal2Rec' project, which was launched in February 2024, is investigating how (Euro) pallets can be independently integrated into logistics processes using sensor-based activity recognition.

© Fraunhofer IML

Up to now, pallets have primarily fulfilled one task: as load carriers, they move things from A to B. But what if they could be more than just load carriers? Because pallets also generate movement or mobility data (for example via QR codes). Until now, however, this has always had to be classified using accompanying information such as camera images. The research project 'Pal2Rec' (sensor-based logistical activity recognition of (Euro) pallets) is now investigating whether the movement data of pallets can be recognized and interpreted through the use of sensors. This would provide a completely new data basis for logistics processes and at the same time make new analysis options available.

The project is being funded by the Federal Ministry for Digital and Transport Affairs (BMDV) with around 181,000 euros as part of the mFUND innovation initiative. The Fraunhofer Institute for Material Flow and Logistics IML is researching the project as the joint coordinator together with the Chair of Materials Handling and Warehousing (FLW) at the Technical University of Dortmund until October 2024. The aim is to prove that logistical processes can be interpreted and reproduced using the additional sensor data.

To provide this proof, the researchers are equipping a range of demonstrators with the necessary sensors. In an experimental setting, they want to find out which sensors are particularly suitable and which data should be collected. In cooperation with industrial partners, the process steps that should be the focus of data collection will be identified. On this basis, the researchers will develop a script that enables the processing of the data and manual activity recognition. Finally, the findings will be tested on a large scale under real-life conditions.

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