To highlight the social and technological impacts of the proposed solutions, BAG-INTEL has planned three use cases.

BAG-INTEL's use cases map

Use case 1: Small international airport, Billund Airport, Billund, Denmark

BAG-INTEL Use case 1

This use case will comprise a setup of the full BAG-INTEL system at Billund Airport in Billund, Denmark. The project will provide an X-ray/CT scanner with AI-based detection and recognition of contraband in the scanning image. Furthermore, the project will provide AI-powered risk analysis and cameras for AI-powered visual tracking of the luggage, including reidentification at the customs area at the exit of the baggage claim area. The application of a sniffer-dog and the use of external data will only be simulated in this use case.

Use case 2: Medium-sized international airport, Makedonia Airport, Thessaloniki, Greece

BAG-INTEL Use case 2

This use case will feature a simulation of the full BAG-INTEL system by using various scenarios and a digital twin model that has been designed to provide the vision of the whole procedure and the airport itself. The project will place several cameras that will be used for tracking luggage in the said simulation while the airport will provide a handheld device for scanning the bag tag label for collecting further information. As part of the simulation, this use case will also consider the integrability with the related existing systems applied by the airport, the customs, and the airport police, including the application of sniffer dogs and intelligence information.

Use case 3: Large international airport, Adolfo Suárez Madrid–Barajas Airport, Madrid, Spain

BAG-INTEL Use case 3

This use case will comprise a setup of the full BAG-INTEL system including risk analysis and a dog track at Adolfo Suárez Madrid Barajas airport in Madrid, Spain. Two different scenarios will be tested to detect contraband concealed in a piece of luggage — a high-risk flight, and a low-risk flight. The combination of an X-ray/CT scanner, cameras, intelligence data, and a dog track will support the customs agents/police officers in the final decision-making regarding the need for manual visual inspection to find concealed contraband in luggage, measuring the success of the whole system.

Moreover, to familiarize the security practitioners and the airport personnel with the BAG-INTEL platform, several training materials based on the co-design principles will be developed by the project partners.