How airport security screening has evolved from basic metal detectors to AI-powered 3D imaging, and what the next generation of technology means for wait times.
Airport security technology has undergone a remarkable transformation since the first metal detectors were installed in the 1970s. Today, AI-powered CT scanners, 3D passenger counting cameras, and predictive analytics are reshaping how airports manage the screening process. Understanding this technology helps explain why wait times vary so dramatically between airports — and where the industry is headed.
1970s: Walk-through metal detectors and basic X-ray machines for carry-on bags. The primary threat model was hijacking.
Post-9/11: Massive expansion of screening. Shoe removal mandated, liquid restrictions introduced, full-body scanners deployed. TSA created as a federal agency.
2010s: Advanced Imaging Technology (AIT) body scanners replace backscatter X-ray. Automated Screening Lanes (ASLs) speed up bin management. TSA PreCheck launches, creating the trusted traveler model.
2020s: CT scanners for carry-on bags begin widespread deployment. AI-assisted threat detection enters pilot programs. Biometric boarding and identity verification expand.
The biggest change happening right now is the rollout of Computed Tomography (CT) scanners for carry-on baggage. Unlike traditional X-ray machines that produce flat 2D images, CT scanners create 3D models that TSA officers can rotate and examine from any angle.
The impact on passenger experience is significant:
As of early 2026, CT scanners are deployed at approximately 60% of checkpoints at the top 50 US airports, with full deployment expected by 2028.
Behind the scenes, airports are deploying sophisticated passenger counting and flow management systems. The market leader is Xovis, a Swiss company whose 3D ceiling-mounted cameras provide real-time data on queue lengths and wait times.
The numbers are impressive:
GateReady integrates with these sensor systems — either directly through airport APIs or through our data collection network — to provide the real-time wait times you see on our platform. When you check GateReady for ATL, you are seeing data from the same 389 cameras the airport uses internally.
The next frontier is artificial intelligence applied to screening images. Several systems are in pilot programs:
Technology is a major factor in the wait time differences between airports. An airport with CT scanners, Xovis flow management, and optimized staffing can process passengers 2-3x faster per lane than one with legacy equipment.
This is why some airports consistently have longer waits despite handling fewer passengers — they simply have older infrastructure. It also explains why airline-funded upgrades (see our article on airlines paying for private screening) are so impactful.
GateReady sits at the intersection of all these data sources. We aggregate information from official airport sensor systems, crowd intelligence, and media reports to provide a single, reliable wait time estimate for every checkpoint we monitor.
Our Security Intelligence platform goes beyond simple wait times to provide:
Whether you are a traveler trying to catch a flight, an airline optimizing connections, or a government agency managing infrastructure investment, data-driven security intelligence is becoming essential. Get started with GateReady to see it in action.
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