The AI Impact on Security Screening

Artificial intelligence (AI) has significantly impacted security X-ray screening, particularly airport security devices and baggage screening. 

Here are some of the ways AI has influenced security X-ray screening:

  • The use of AI algorithms can help identify potential threats with far greater accuracy than human operators. This is because AI algorithms can be trained to identify specific threats, such as weapons or explosives, by analysing X-ray images with precision. Moreover, AI algorithms are less prone to errors, which can occur due to distractions or fatigue in the case of human operators. This makes AI-powered threat detection systems more reliable and effective. AI can significantly improve security measures by reducing the risk of incorrect positive or negative outcomes. 
  • AI detection can process X-ray images much faster than humans, leading to shorter wait times and more efficient baggage screening processes. This reduces congestion at security checkpoints. Consistency and Reliability:
  • AI-based systems eliminate variability due to fatigue and distractions. As well as reducing chances of human error during security screening.
  • AI can assist in training security personnel by providing a large dataset of X-ray images with known threats. This enables human operators to gain experience recognising threats without needing real-world exposure to dangerous situations. 
  • Improved Image Analysis: AI algorithms accurately detect concealed items in complex and obscured images, aiding in identifying evolving threats.

Several countries and aviation regulatory bodies are exploring using AI technology in security screening to comply with safety and security standards. The United Kingdom, the United States, and numerous European countries are investigating innovative ways to harness the benefits of AI. These countries are utilising AI technology for primary screening in aviation security, including the screening of carry-on baggage, checked baggage, and air cargo. 

EyeFox, developed by Neural Guard, detects and identifies hidden threats. Our solution employs deep-learning computer vision in the screening process for automatic threat detection. Also, it creates a centralised image processing network whose value increases exponentially as it develops, learns, and improves with data aggregation.

Our data production and testing centre has created a vast data set with over 3 million images of threat and non-threat items to teach the detection algorithm and reduce false alarms. It is constantly updated with new images and orientations. Eyefox can be easily integrated into various X-ray systems without affecting their performance.

Artificial Intelligence has significantly improved the efficiency and effectiveness of airport security screening equipment processes, making air travel safer and more secure. 

Please get in touch with us through our website for more information on how EyeFox can benefit your operation.