In response to new threats during the past 20 years, airport security has greatly increased throughout the world. As passenger expectations rise, major transportation hubs are under pressure to increase throughput, reduce wait times, and create the smoothest possible transition from the entrance to the departure gate. How can these goals be reconciled?
Artificial intelligence may hold the solution for a lot of international governments and airline hubs. The UK government contributed £1.8 million earlier this year to the creation of new AI technologies that would improve security and reduce wait times at some of the biggest airports in the nation.
Facial recognition inspections at customs to self-service check-in robots. At airports, customers would welcome more practical options. But what could be a practical alternative to accelerating the careful airport security procedure?
Virtual queuing
Virtual queuing shortens wait times, enhances the traveler experience, and boosts non-aerial revenue.
An increasingly common method of managing passenger demand is virtual queuing. In the future, virtual queuing is probably going to be increasingly more common as technology develops. Virtual customer queuing can be the answer for you if you’re seeking a way to enhance the traveler experience at your airport.
Virtual queuing is a method of controlling passenger demand in which a virtual space or line is created for passengers using technology. There are numerous ways to accomplish this, including using an app, a phone, an email, a website, a contact center, or an SMS. Read more here to get a better understanding of this.
Machine learning and security scanners
Machine learning can be used to analyze data and identify dangers faster than a human could in the context of airport security. Laptops and other items that previously had to be scanned individually can now be kept in passenger bags when traveling through security checkpoints.
AI could tighten security at airport landside areas in addition to checkpoints. The portable security gate is scanned by the airports using a camera, facial recognition software, and millimeter-wave technology. Machine learning algorithms are utilized to automatically scan data for dangers, such as explosives and guns, while disregarding potentially harmless objects that users may be carrying, such as keys and belt buckles.
Using biometrics to secure airports
Biometrics is one security idea that is being more widely used and is closely related to AI. Given that earlier research has found accidental biases in these systems, accuracy is a crucial issue with the application of these technologies. Early evaluations of the biometrics code revealed a 76% success rate. However, experts are currently working on it to get the finest outcomes at the airport.
It’s yet unclear if investing in advanced technologies will be worthwhile in terms of increasing security throughput. The response is a resounding “yes,” as it will assist us in many ways in reducing dangers to airport security.
The airports require the appropriate software for it, and once they do, there won’t be any security concerns at the airports or dangers to any of the travelers’ belongings, including luggage, technology, cash, and more.