SITA was on a mission to elevate airport operations through smarter, more integrated technologies. While the company had already established a strong digital foundation, it lacked real-time visibility and AI-driven insights across critical airport functions.
Partnering with Addepto, SITA set out to build an AI-powered luggage tracking system and a Digital Twin platform designed to enhance passenger experience, optimize operational efficiency, and future-proof airport infrastructure.
Meet Our Client
SITA is the world’s leading air transport communications and information technology specialist. It delivers solutions that cover almost every aspect of airports infrastructure and processes: operational, baggage, and passenger process.
Case Study Shortcut
Challenge
Siloed Operational Processes and Data Flows
Key airport functions (such as luggage tracking, passenger movement, and traffic control) were managed in isolated systems. As data was collected and presented separately, it was difficult to gain a comprehensive view of airport operations or understand how different elements interacted.
Lack of Infrastructure for Real-Time Image Processing
While camera systems were in place, there was no supporting infrastructure or software capable of processing video streams or images at scale. This made it impossible to extract real-time insights from visual data across the airport.
Goal
The ultimate goal of partnering SITA with Addepto was to complement the SITA’s offer in terms of airport facilities with Intelligent Tracking System dedicated to luggage tracking, and Digital Twin to grasp the overall happenings in the airports.
- Replace the legacy barcode-based tracking system with an AI-powered luggage recognition solution
- Implement a Digital Twin platform to create a real-time, interactive overview of airport operations
- Automate and optimize operational processes
Outcome
Prepared AI solutions processed tons of videos in hours and with high accuracy find missed baggage and can track passengers and provide based on it operational information. It saves a lot of working hours and optimizes airport costs.
The decision-making process based on the overall picture of airport operations was significantly improved. In addition to showing what is happening now, we can also choose a moment in history and replay exactly what happened in the past. This is a very effective way to investigate how the disruption is handled and determine what can be done better next time.
Before
- Siloed Operations
- No Real-Time Decision Support
- Outdated Tracking Methods
- Limited Predictive Capabilities
After
- End-to-End Data Aggregation
- Real-Time Operational Intelligence
- AI-Powered Luggage Tracking
- Digital Twin for Airport-Wide Insights
- Future-Proof Architecture
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Case Study Details
Approach
Data Aggregation from Multiple Sources
- Collected and aggregated data from operational systems, sensors, and cameras.
- Ensured the system could deliver real-time operational insights to support decision-making.
Implementation of Passenger and Baggage Tracking
- Developed tracking solutions to monitor passengers and baggage flows.
- Aligned with pandemic safety standards, enhancing health and safety compliance.
Delivery of a Real-Time, Interactive 3D Platform
- Built a user interface for airport operations analysis.
- Platform acts as an interactive map, enabling users to visualize and interact with key airport areas in real-time.
Integration of Deep Learning and Classic AI Algorithms
- Combined deep learning models with traditional AI to meet SITA’s specific needs.
- System is currently in test mode, continuously learning from data to improve analysis accuracy and event prediction.
Scalable “Umbrella” Technology for Holistic Airport Monitoring
- Designed as a future-proof solution that improves over time with more data.
- Provides a comprehensive view of current operations and potential future events across the airport environment.
