Description
The rise in production of cost-efficient unmanned aerial vehicles ("UAVs" or "drones") opens up new possibilities for process optimizations in industrial settings. The InteGreatDrones project focuses on the use of drone swarms for data collection in dynamic inland terminals, addressing challenges of changing cargo types and stakeholder interactions. The project's goal is to employ autonomous drones to capture terminal activities, ensuring privacy through local data processing and selective sharing. With the help of computer vision algorithms, a digital twin of the port is created. A central middleware connects drones and existing systems, supporting terminal-specific applications like route optimization and predictive maintenance. The project seeks to provide real-time data for informed operational and strategic decisions.
Keywords
Computer Vision
Digital Twins
Distributed Systems
Industrial IoT
Drones
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