Goal of the project
In the COOKIE project, the CML is working with project partners to develop software for image-based damage detection in empty container inspection based on artificial intelligence. This will not only comply with current safety standards, but also make inspection processes at the terminal gate more efficient.
Furthermore, the CML is developing an AI-based concept for digitalising and optimising tank container washing systems, which are currently controlled manually for the most part and require large amounts of water and chemical additives to clean stubborn contamination in the tanks.
Overall, the plan is to improve the plannability of maintenance and availability of empty containers in the Port of Hamburg. In the context of "Maintenance & Repair" (maintenance and repairs of empty containers), AI-based image recognition shall support inspectors in identifying and evaluating damage, thereby increasing the uniformity of damage assessment. This leads to a better probing of repaired and damaged containers as well as to a better plannability of the reuse of empty containers.
In the application area of " tank container cleaning", an optimal cleaning programme is to be learned independently by an AI system and cleaning procedures are to be documented in order to achieve the greatest possible automation of the systems with a simultaneous increase in resource efficiency. Modern algorithms from the field of reinforcement learning are used for this.