Changi Airport in Singapore is testing a sophisticated AI-based luggage screening solution to bolster its security measures.
In Brief
Changi Airport in Singapore is experimenting with a cutting-edge, AI-driven method to enhance the security screening of passenger baggage, which is anticipated to lessen the risk of mistakes made by human operators.
Changi Airport Group (CAG) Singapore is in the process of testing a groundbreaking system that integrates artificial intelligence and machine learning to analyze X-ray images produced during the screening of cabin baggage at the boarding gates. This advancement is expected to minimize processing time and reduce the likelihood of errors caused by human oversight.
The newly implemented AI-centric security technology known as the Automated Prohibited Items Detection System (Apids) is still in its nascent stages at the airport.
This system is presently assisting security personnel by pinpointing items that may pose a danger. The ultimate aim is to enhance automation levels so that security agents only need to manually inspect bags that the system flags as needing further scrutiny.
This automation is projected to streamline the clearance process by up to 50%, while also allowing for an optimization of overall security operations. redeployment of manpower resources to other areas.
Enhancing the detection of prohibited items using AI technology.
Current security devices that produce two-dimensional images through X-ray scanning can be quite time-consuming.
In comparison, the latest baggage scanners utilize computed tomography technology to create three-dimensional images, which provide superior detail and enable travelers to keep devices such as laptops safely stored inside their bags during screening. images The Apids system is capable of processing both 2D and 3D images, and it is currently being recognized as a way to enhance the effectiveness and capabilities of airport security personnel.
Initial feedback has been promising, indicating that the newly implemented AI system is comparable to, and in some cases even surpasses, traditional human screeners in identifying restricted items in carry-on luggage that it has been trained to detect.
Employing AI algorithms for examining X-ray images from baggage scanners can achieve processing times that are up to five times faster than those produced by a human operator. Trials of these AI algorithms are underway in several locations around the globe, including China, the Netherlands, and the United States.
Automated Prohibited Items Detection System
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