The chairman of Sky One adds that technical upgrades must become an integral part of smart airports
In Indian airports, artificial intelligence (AI) is already changing the traveler experience, especially during pre-departure processes. AI bots, for example, are helping travelers at Delhi International Airport with a variety of duties, including enabling self-service alternatives for boarding permits and baggage tags and delivering real-time alerts on travel modifications. Experts in the field stress that cutting-edge technologies like artificial intelligence (AI) and machine learning (ML) can optimize various facets of airport operations, such as traffic control, security checks, and layout design, in addition to improving the customer experience.
“According to Jaideep Mirchandani, chairman of the UAE-based aviation giant Sky One, “AI solutions can help airports ensure traveler safety and streamline operations by analyzing and interpreting visual data from images, videos, or live streams, using an enhanced security portfolio and threat detection.”
According to him, smart airports with automated check-in, self-service luggage terminals, and biometric scanning at checkpoints must incorporate AI technologies. According to him, biometric technology and AI may be used together to minimize bottlenecks, particularly during busy times of the year, and lessen the need for extra labor. In order to prevent maltreatment, IoT devices can also be widely deployed to offer real-time baggage status information.
AI can evaluate weather patterns using its predictive algorithms, which will help avoid delays and make rerouting easier if needed. Fuel expenditures can be reduced and cost efficiency increased by optimizing flight patterns and adhering to schedules, Mr. Mirchandani continues.
Using data-driven decision-making, he also discusses digital twin technology, which builds virtual representations of real-world locations and can assist in implementing operational changes over large areas. “Digital twins are becoming more and more important since they enable testing of updates and simulation of different situations without interfering with actual operations. For example, airports must evaluate the effectiveness of capital-intensive zero-carbon solutions and their effects on existing infrastructure prior to their actual implementation. According to Mr. Mirchandani, “digital twin technology can also enhance passenger flow and layout design to improve efficiency.”
Mr. Mirchandani continues, “AI will help in managing airport facilities and commercial activities.” AI is also becoming more popular in the logistics sector. In the end, it will increase profitability and efficiency by facilitating the administration of airport space usage, optimizing revenue from retail and concession operations, and even enabling data-driven decisions for commercial leasing.
