Passenger growth is colliding with practical constraints at the airport checkpoint. Terminals cannot be expanded indefinitely, security footprints are often fixed, and operating budgets remain under pressure. Yet expectations continue to rise: higher throughput, strong security outcomes and a calmer passenger experience.
Against that backdrop, the checkpoint is being redefined. Rather than a collection of standalone technologies, it is evolving into an integrated operating system – orchestrating passenger flow, and screening decisions and performance across the process. The strategic question is shifting from “Which scanner should we buy?” to “How to design and optimize the checkpoint that enables improved performance overtime?”
Why the checkpoint needs a new model
Most security bottlenecks are predictable. Demand arrives in waves. Divestment slows when passengers are uncertain about what to remove from their bags. Secondary checks spike when alarm rates rise. Lane availability can change quickly with minor faults, maintenance needs or staffing gaps. Small disruptions compound into visible queues, which quickly shape passenger perceptions of the entire airport experience.
CT changes the passenger process
Computed tomography (CT) for cabin baggage sits at the center of this shift because it changes the passenger process as well as the experience. When CT is deployed effectively, it can reduce friction at the point where the journey is most exposed: divestment and repacking.
Smiths Detection’s CTiX platform enables a true ‘leave-in-bag’ experience at scale. Laptops and electronics remain inside baggage, and passengers can keep liquids in their bags in containers up to two litres. That removes one of the slowest, most variable steps at security. Fewer items on the belt mean less tray handling, shorter repacking times and fewer stoppages due to uncertainty and rework.
Operationally, that translates into a more predictable lane process. When most passengers are required to do less, throughput is less dependent on the slowest in the queue. Queues become easier to manage, and fewer passengers are pulled aside for avoidable intervention.
Decision support shifts focus to exceptions
However, equipment capability alone does not deliver an end-to-end operating model. As volumes increase, decision-making under pressure becomes equally important.
This is where AI-enabled decision support becomes central. Smiths Detection’s iCMORE is an AI-enabled tool that automatically flags a range of prohibited items to support faster, more consistent decisions. In practical terms, this shifts attention away from routine image review toward bags that genuinely require intervention. By reducing avoidable secondary checks and lowering cognitive load during peak periods, decision support helps maintain consistency across long shifts and fluctuating passenger numbers.
Flow is engineered at the lane
Even with a simplified passenger process and stronger decision support, checkpoint performance ultimately hinges on flow. Tray management is therefore a core element of the end-to-end operating model.
Smiths Detection’s iLane A20 operates within this critical layer, supporting higher throughput and reducing queue build-up by optimizing how passengers and trays move through the lane. When divestment is smoother, tray return is reliable and passenger movement is uninterrupted, time savings compound quickly across the day. Those small gains are the difference between stable operation and a queue that creeps into the terminal.
End-to-end means operational control, not collection
In an airport environment, end-to-end needs to mean a connected operating model, not a set of assets. In practice, it links four elements into a single system: a passenger process that reduces friction, screening capability that supports confident decisions, lane design that maintains flow, and performance management that gives teams visibility and control.
In that context, CTiX, iCMORE and iLane A20 represent the core layers of a connected checkpoint: screening, decision support and operational flow. When those layers work together, airports gain a checkpoint that runs more smoothly under pressure and improves over time.
Connectivity and remote operations
As checkpoints become more connected, digital architecture becomes part of operations. Open architecture recognizes the reality that airports need systems to work together, and that performance improves through orchestration rather than isolated upgrades. Remote screening and centralized review models also help balance workload and reduce congestion at the lane.
A practical example of end-to-end delivery
This approach is already moving from concept to execution. At Malta International Airport, rising passenger numbers placed cabin baggage screening under sustained pressure. The response combined deployment of CT for cabin baggage with remote screening architecture, centralizing image review in a dedicated control room to support smoother throughput and a less intrusive passenger experience.
The wider point is the operating logic. When screening capability, decision support, lane flow and performance management are treated as a connected system, airports can build checkpoints that are resilient, measurable and easier to run well.
The future checkpoint: connected, resilient, defensible
The broader lesson extends beyond any single site or deployment. Competitive advantage will increasingly depend on how effectively airports optimize checkpoint systems and workflows, with performance that can be measured, improved and defended under regulatory scrutiny. With global passenger volumes forecast to rise to 18.8 billion travelers by 2045[1], pressure on existing security infrastructure will only intensify.
The future checkpoint will be defined by how well the operating model connects passenger process, detection, decision support, lane performance and, where used, remote operations into a resilient end-to-end system.
For airport leaders, the priority is building a resilient checkpoint that runs smoothly during peaks, recovers quickly from disruption and improves over time. That means reducing friction for passengers while sharpening focus on the minority of cases that genuinely require human attention.
In that direction of travel, CTiX enables a materially different journey through true leave-in-bag capability, iCMORE supports exception-focused screening through AI-enabled decision support, and iLane A20 strengthens the flow mechanics that turn capability into throughput. Together, that is what end-to-end looks like in practice: a connected checkpoint operating model designed for performance, resilience and consistent security outcomes.
[1] https://aci.aero/2026/01/28/aci-world-releases-global-airport-traffic-forecasts-as-long-term-demand-growth-continues-to-reshape-aviation/
About the author:
Kevin Riordan is head of airports and checkpoint solutions at Smiths Detection. He works with airports and security stakeholders to improve checkpoint performance through connected screening systems and digital operations.
