ITEA is the Eureka Cluster on software innovation
ITEA is the Eureka Cluster on software innovation

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.

Project leader

Selim Sarı
TAV Technologies, Türkiye
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