Especially during boarding and preparation for landing, the flight attendants are under a lot of strain: they have to check the correct closure of the overhead compartments, the sunshields, the seat belts of each individual passenger as well as the position of the seat manually in the shortest possible time. We think: If our modern cars signal that a trunk or door is not locked or a seat belt is not fastened correctly, then this must also work in the aircraft. Various subprojects of Cabin 4.0 are therefore concerned with intelligent automation of cabin checks. This saves cabin crew valuable time, which they can use for direct passenger service.
The mechanics also have to deal with many recurring processes in the technical support of the cabin, which could be carried out more quickly by intelligent automatic processes. We ask ourselves: Would it perhaps even be possible for the cabin to check itself and report defects automatically to the mechanics? All products in the cabin, such as seats, luggage compartments and lighting are already equipped with sensors. With the help of image recognition, optical defects could be detected and transferred to digital job cards. The knowledge gained from this remains in the form of a learning curve for any findings that may occur later. Optimal workflows using artificial intelligence and augmented reality are a realistic future for us. Why shouldn't the maintenance crew get a first virtual overview of the condition of the cabin with small drones in the run-up to a check? Our vision for the "Self-checking Cabin" starts at many different places.