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In addition, AI-powered surveillance systems use machine learning algorithms to detect and track suspicious behavior, alerting security personnel to potential security breaches. These systems can also identify and respond to emergencies, such as a passenger medical emergency or a security breach.

Using a combination of indoor mapping, computer vision, and machine learning, these systems provide passengers with turn-by-turn directions to their gate, baggage claim, or other airport facilities. The AI-powered navigation system can also alert passengers to any travel disruptions, such as flight delays or gate changes, ensuring they stay on schedule.

Key findings

Haneda Airport continues to explore new applications of AI to further enhance the travel experience and improve operational efficiency. Some of the future plans and developments include:

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HND-AI-2026-01 Date: April 18, 2026 Prepared for: Stakeholders in Smart Airport Technologies Subject: Analysis of AI deployment at Haneda Airport (Tokyo International Airport)

Haneda Airport faces a range of challenges, from managing high volumes of passenger traffic to ensuring efficient and safe airport operations. With a growing number of flights and passengers, the airport is under pressure to reduce congestion, minimize delays, and provide a seamless travel experience. The AI-powered navigation system can also alert passengers

AI-powered chatbots and virtual assistants are being used to provide personalized support to passengers, helping them navigate the airport and access essential services. These AI-driven systems can offer real-time information on flight schedules, gate changes, and travel alerts, making it easier for passengers to plan their journey.