SASEEBO
Safe, Secure, Efficient Airport & Airline Baggage Operations
Project description
The SASEEBO project aims to improve airline baggage operations using AI, machine learning, computer vision and IoT technologies. It introduces AI-powered damage detection at check-in to reduce false claims, distant barcode reading for better tracking, and deep learning to identify untagged baggage. Automated monitoring will detect handling violations, while eSIM-based IoT tracking will support real-time, cross-border localisation. AI will also improve threat detection in X-ray CT scans and verify baggage ownership to prevent unauthorised exchanges. The system will be tested at major airports to ensure integration, compliance, and effective performance across different environments.
Portugal
Republic of Korea
Incheon International Airport Corportation
Republic of Korea
SOFTonNET
Republic of Korea
SSTLabs
Republic of Korea
Türkiye
ARD GROUP
Türkiye
Hitit Computer Services
Türkiye
inosens
Türkiye
TAV Technologies
Türkiye
TEKNASYON
Türkiye
Project publications
- ITEA Call 2024 labelled projects lead the way in digital transformation News item 13 May 2025