How Artificial Intelligence Can Enhance Airport Security Systems

Artificial intelligence is used in every aspect of aviation, from facial recognition at the border to self-service check-in automation. On the other hand, current research using computer-assisted security screening and deep learning methods to support operators shows promising results.

Artificial intelligence systems utilize various data sets. Technicians are using machine learning to analyze airport security data and identify hazards faster than humans. When passing through the security checkpoint, passengers can place items in their checked luggage that previously required separate scanning.

How artificial intelligence can enhance airport security systems

The Pacific Northwest National Laboratory has invented a Body scanning system called HD Passenger Imaging System. To create enhanced full-body machines that can more accurately detect threats, the lab added semiconductor chip tools to the scanners.

The team is currently utilizing bags, personal items, laptops and simulated explosives while using programmed threat identification software to verify the accuracy of CT and AIT system sensors.

The Airports Authority of India has selected eight airports to test the potential of artificial intelligence in baggage checking. One of the airports uses baggage AI technology. The artificial intelligence device improves security measures at airports.

An artificial intelligence model called "Luggage AI" is an AI-based model used as a threat detection system for security X-ray machines. From X-ray images generated during baggage screening, AI software can automatically identify a large number of objects and other hazards and notify personnel.

Biometric technology is an artificial intelligence innovation worthy of attention. Over the next two years, major airports are choosing to implement biometric identity management. The main use of biometric technology is facial recognition, which is already used at several major airports to scan travelers as they pass through customs.

At TSA checkpoints, kiosks or gates, passengers can utilize facial recognition scanners to identify themselves. The use of fingerprints, facial recognition and retinal scans may become mandatory verification technologies at airport security.

Instead, recent failures and emerging threats have made these cutting-edge AI-based airport security technologies urgently needed. Technology that allows passengers to travel without taking off their shoes, wearing seatbelts, and reducing friction must be a boon for air travelers. In addition to identifying existing risks, AI can also detect undetected risks. Cybersecurity relies heavily on artificial intelligence, especially its machine learning methods. With the development of automated threat identification systems driven by artificial intelligence, it may be possible to anticipate and prevent terrorist attacks. Ensure passengers have a smoother journey by improving security at the airport. ​

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