Changi Airport Group (CAG) is conducting trials at Terminal 3 to employ AI and machine learning in screening cabin baggage using X-ray machines, aiming to expedite security checks by up to 50%. This AI-driven system interprets X-ray images to identify prohibited items, reducing processing time and human error. Initial results show promising performance, equaling or surpassing human screeners in detecting items like insecticides, lighters, and sharp objects.

The system aims to streamline security checks, highlighting potential threats to assist officers. The ultimate goal is enhanced automation, minimizing manual checks by flagging suspicious bags akin to current procedures for checked baggage. As the technology evolves, Changi plans to expand its use, optimizing manpower and speeding up clearance.

While CAG didn’t disclose the trial’s specifics due to security reasons, reports indicate AI algorithms can screen X-ray images five times faster than humans. This technology, termed Automated Prohibited Items Detection System (Apids), is in its early stages at Changi, focused on aiding security officers.

As air travel rebounds, efficient security screening becomes critical. Apids could optimize resources, improve clearance speed, and reduce false alarms. However, challenges persist in training AI to distinguish between benign and concerning items while conforming to global security standards, necessitating further regulatory discussions.