The latest technologies strive to increase airport security and passenger experience

Airport security requires innovation because we’re traveling more than ever while experiencing more varied threats to our safety. Nowadays, airport security management represents a multi-faceted approach with concerns for passenger safety and the security of connected equipment.

Airport IT systems are becoming increasingly connected and take information from many different sources into a central dashboard.

What is CT?

One of the possible solutions for the next generation of airport security screening is computed tomography (CT) scanning – a similar technology to what is used for scans in hospitals.

CT is the latest checkpoint X-ray scanning equipment to enhance threat detection capabilities for carry-on baggage. The technology is similar to CT technology used in the medical field and research shows that CT is the most consequential technology available today for airport checkpoints. Research shows that it is the most consequential technology available today for airport checkpoints.

Threat detection relies heavily on human operators interpreting information from some type of screening device – often based on X-ray, computed tomography (CT), or millimetre wave technology – that projects images onto a monitor for interpretation.

However, CT scanners also contribute to the enhanced health and safety measures implemented at airports, by minimising touch points. By having automatic detection capabilities and low false alarm rates, unnecessary interaction between passengers and operators is reduced and physical distancing amongst travellers can be more easily implemented with quicker screening. With liquids and laptops being allowed to remain in bags during screening, the number of trays handled by both staff and passengers is drastically reduced.

Sophisticated threats require smaller amounts of explosives and fewer detonators. The fewer the detonators, the higher chance there is of cleverly disguised items clearing security checks. Heavy bomb components can also be concealed under objects of similar shapes in hope that the operator inspecting the scanned image wouldn’t be able to detect the threat that’s ‘lurking behind’.

How airports are using AI to improve aviation security

Technologies and procedures that can improve aviation security, while reducing inconvenience to travellers, are very important in order to secure the entire air system. Artificial intelligence is going to take the lead in enhancing aviation security beyond the limitations posed by human decision-makers.

For example, the use of artificial intelligence (AI) in aviation security training is rising due to the exponential growth in computing power. AI has the potential to significantly raise the performance of airport screening equipment – enabling new image classification and object recognition functions at the checkpoint, which could pave the way for a more automated, alarm-resolution-only passenger screening.

The most important elements vulnerable to attacks considering the whole system are:

  • Access, Departure and Passport Control Systems
  • Cargo handling and shipping
  • Reservation Systems
  • Fuel gauges
  • Hazardous Materials Transportation Management
  • In-Flight Entertainment (IFE) and Connectivity Systems
  • e-Enabled ground and onboard systems
  • Electronic Flight Bags (EFB)- an electronic information management device that helps flight crews perform flight management tasks easily and efficiently.
  • Cabin crew devices

Neural Guard – Our vision

Neural Guard is a dynamic technology company constantly developing Artificial Intelligence-based auto-detection solutions for the security screening market. We want to cultivate a dynamic security operation where technology can be effectively deployed to maximise the efficiency, accuracy, and throughput of the baggage screening process.

Getting more data requires spending more time and money. Maintaining it isn’t cheap either. For example, at Neural Guard we currently use some two million images. While in the automotive industry this is not considered significant, in the security market it is. Creating such a dataset requires expensive x-ray machines, real threats (e.g. guns, knives, explosives, etc.), a large variety of luggage items, and highly trained data annotators.

If you have any enquiries, please don’t hesitate to contact us!