How Artificial Intelligence can help in airport management

Technology, with the aid of artificial intelligence, optimizes airport monitoring. Following the same line of smart cities, which have gained more and more space in Brazil and in the world, smart airports are becoming popular. After all, both airlines and airport management have noticed how advantageous the application of technology in these spaces is. Last year, in all, more than 67 million people flew through Brazil, according to Brazil’s Civil Aviation Agency (ANAC, in Portuguese). Precisely to help control everything that happens on airport premises, technological resources such as Artificial Intelligence, Machine Learning, and Big Data Analytics can be applied to video monitoring systems to identify risk situations and prevent them. According to Eduardo Vargas, Business Development Manager in Brazil at Graymatics, a cognitive multimedia processing company, at airports, the large number of people and objects circulating every minute combined with possible human communication and interpretation failures are a challenge for ecosystem management of air traffic. An existing practice of terrorists is to abandon the bag at the airport or check bags and not board the flight. If someone does not board, the airline needs to remove the person’s bag, even if they are not suspicious. If the operator uses AI, it is possible to identify both abandoned objects and locate the luggage of someone who did not board more easily, avoiding flight delays and improving security. The landing and take-off runways have aircraft, cars, trucks, buses, employees, and passengers circulating at the same time. To increase safety and reduce the risk of accidents, we use AI to identify and name everything that is circulating on site, create alerts for dangerous situations and actions to prevent accidents. An intelligent system connected to airport cameras can determine whether engines, aircraft, and other vehicles are moving or stationary and, if they are moving, how fast they are, preventing accidents on the runway. “There are several possible applications of multimedia cognitive processing at airports – everything will depend on the needs and particularities of each one of them. Stores, for example, can monitor customer queues at airports. It is also possible to monitor the warehouses where the planes are parked or assist with predictive maintenance and much more,” said Vargas. – Como a Inteligência Artificial pode ajudar na gestão dos aeroportos (uol.com.br)