APPLICATION OF SMART TECHNOLOGIES IN IMPROVING MANAGEMENT AT AIRPORTS

Abstract

The presented article explores the enhancement of Smart Airport management systems and the innovative technologies applied in this field. Smart Airports integrate advancements such as the Internet of Things (IoT), Artificial Intelligence (AI), RFID technology, biometric identification, and Machine Learning (ML) to improve airport operational efficiency, enhance passenger experience, and strengthen security measures. These systems optimize airport management through automation, data analytics, and AI-driven processes. The article analyzes the key challenges addressed by Smart Airports, including passenger flow management, baggage tracking systems, biometric identification, and automated security screening procedures. For instance, facial recognition and iris scanners enable rapid passenger identification, reducing long queues. The implementation of RFID technology enhances the accuracy and efficiency of baggage tracking systems. Additionally, the role of AI applications in
real-time data processing for improving operational efficiency is emphasized. The results achieved by airports such as Narita, Munich, Hamad, and Heydar Aliyev International Airports through the adoption of these technologies are highlighted as examples. Furthermore, the future of Smart Airports and emerging trends in this field are discussed. The wider implementation of 5G technology, blockchain-based security systems, and IoT is expected to further enhance airport efficiency and security. These innovations are set to shape the future of the global aviation sector, creating a more technologically advanced and seamless travel
experience for passengers.