Course Modules:

Module 1: Introduction to Smart Airport Concepts and Ecosystem

• Evolution of smart airports and digital transformation

• Key components: automation, connectivity, analytics

• Frameworks for smart airport development

• Global benchmarks and implementation stages

Module 2: Biometric Identification and Passenger Processing

• Facial recognition, iris scans, and fingerprinting technologies

• E-gates, self-check-in kiosks, and mobile identity platforms

• Integration with immigration and security systems

• Case Study: Biometric boarding and seamless travel programs

Module 3: Smart Baggage Handling Systems (BHS)

• Architecture of modern BHS systems

• RFID, barcode tracking, and baggage reconciliation

• Real-time baggage tracking applications

• Optimization using machine learning and predictive analytics

Module 4: Internet of Things (IoT) in Airports

• IoT architecture and data flow in airport systems

• Smart sensors and real-time monitoring applications

• Asset tracking, environmental control, and predictive maintenance

• Examples of IoT applications in passenger and baggage handling

Module 5: Smart Security and Surveillance Systems

• Smart CCTV and AI-based threat detection

• Automated border control and anomaly detection

• Integration of cybersecurity in smart systems

• Use of drones and robotics in surveillance

Module 6: Advanced Airport Communication and Control Systems

• Advanced AODB, FIDS, and RMS platforms

• Integration of control centers with smart systems

• Role of AI and cloud platforms in airport command centers

• Case Study: Real-time collaborative decision-making (A-CDM)

Module 7: Passenger Experience and Terminal Automation

• Personalized services and mobile app integration

• Wayfinding, digital signage, and smart boarding alerts

• Smart retail, lounge access, and comfort systems

• Enhancing accessibility through assistive tech

Module 8: Data Analytics and Decision Support in Smart Airports

• Role of big data and predictive analytics

• Passenger flow analytics and congestion management

• Dashboards and KPIs for smart operations

• Data governance and privacy regulations

Module 9: Integration, Interoperability, and Vendor Management

• Systems integration frameworks and standards

• Interoperability between legacy and smart systems

• Procurement and lifecycle management for smart tech

• Managing multi-vendor smart airport ecosystems

Module 10: Roadmap for Smart Airport Implementation and Innovation

• Building a smart airport master plan

• Cost-benefit analysis and funding models

• Change management and staff upskilling

• Final Group Exercise: Drafting a smart airport rollout strategy