The “Forklift Truck Eye” automates logistics through image processing. For automated intralogistics use and more efficient transport processes, typical deployment scenarios were implemented and evaluated in the research project of TUM Munich, such as fork occupied recognition, the identification of goods by means of NVE code, pallet-accurate localisation, and storage compartment-accurate forklift height recognition. The latter was achieved with the aid of a camera system and lighting control systems.
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