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Smiths Detection has secured a key certification from the US Transportation Security Administration (TSA) for its AI-enhanced screening technology, strengthening the company’s position in the race to modernize security at American airports.
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New TSA Certification Marks Milestone for AI Screening
Publicly available federal documentation shows that Smiths Detection systems now appear on TSA certification and qualification lists for advanced checkpoint and baggage screening, a prerequisite for large-scale deployment across US airports. Recent versions of TSA’s certified and qualified technology lists reference Smiths Detection equipment for advanced imaging and explosives detection, indicating that the company’s platforms have completed agency-sponsored testing and met performance thresholds for operational use.
The certification step is widely viewed in the industry as a gateway to broader adoption, since only equipment on TSA-approved lists can typically be procured with federal aviation security funding. For airport operators in the United States, this status can significantly narrow vendor choices and often accelerates contract decisions once funding programs or modernization initiatives are announced.
For travelers, the impact will be felt less in the brand names of scanners and more in how quickly and accurately carry-on bags and checked luggage can be screened. AI-enabled systems promise to automate much of the threat detection process, supporting security personnel while maintaining or improving detection performance.
The TSA certification also aligns with broader government efforts to encourage the use of advanced analytics and machine learning across aviation security. Recent requests for information and program outlines for checkpoint modernization have pointed to AI and automated threat recognition as critical components of future screening concepts.
HI-SCAN and CT Platforms Move Up TSA Technology Lists
Press material and regulatory lists indicate that Smiths Detection’s high-throughput systems, including the HI-SCAN 10080 XCT for hold baggage and air cargo, have progressed to qualified status on the TSA Air Cargo Screening Technology List. This means the equipment has not only been laboratory tested but has also passed field suitability assessments for operational environments at air cargo facilities.
The HI-SCAN 10080 XCT combines high-speed computed tomography (CT) scanning with advanced image processing, enabling 3D reconstruction of baggage contents. According to company literature, the platform is designed for large airports and cargo hubs that need to screen high volumes of bags and consignments with minimal interruption to baggage handling systems.
At the checkpoint, Smiths Detection’s HI-SCAN 6040 CTiX has been cited in product documentation as holding TSA certification under the Accessible Property Screening System (APSS) framework. The system is also listed as meeting high European regulatory standards, underscoring its dual role in both US and international deployments. This combined regulatory status is seen by observers as a strong selling point for multinational airport groups that want to standardize screening technology across multiple hubs.
These approvals are particularly relevant as US airports prepare for new federal programs aimed at refreshing checkpoint and baggage screening fleets. Certification and qualification do not guarantee contracts, but they position equipment makers like Smiths Detection to compete for upcoming procurement rounds.
AI Algorithms Bring Automated Threat Recognition to Checkpoints
Smiths Detection has spent several years layering artificial intelligence onto its X-ray and CT platforms, moving from manual interpretation models to systems that embed automated threat recognition. Earlier announcements from the wider Smiths Group describe certified algorithms, such as the iCMORE suite, that use machine learning to flag prohibited items in carry-on and checked baggage images.
Company information on aviation solutions explains that AI techniques, including deep learning, are now used to train image-recognition models to identify firearms, knives, explosives components and other contraband as bags move through scanners in real time. These algorithms generate on-screen prompts or automatic alarms, directing operators’ attention to specific regions of interest rather than requiring them to visually parse every object in every bag.
AI-enabled screening is framed as a way to support both security and operational efficiency. By automating much of the initial detection task, systems can help reduce false alarms and shorten decision times, which can be particularly valuable during peak travel periods. The approach also supports remote screening centers, where images are transmitted to operators who may be overseeing multiple lanes or even multiple airports.
Smiths Detection has complemented its in-house AI development by forming partnerships with specialist analytics firms. One 2025 collaboration with Korean company Deepnoid focuses on integrating additional AI models with Smiths Detection scanners, under an open-architecture approach that allows third-party software to run on approved hardware while maintaining security and regulatory compliance.
Implications for US Airport Modernization Efforts
The TSA certification for Smiths Detection’s AI-enhanced platforms arrives as the agency refines its long-term modernization roadmap, including a prospective Gold+ program that industry watchers expect will shape future procurements of screening technologies. Public commentary and analysis of government requests for information suggest that TSA is seeking to combine hardware upgrades with advanced analytics, including AI and machine learning, to optimize checkpoint layouts and staffing.
For large US airports, the emergence of certified AI screening systems offers a path to redesign security checkpoints around CT scanners and automated threat recognition. Airports that have already adopted similar technology in Europe and Asia have reported reduced need for passengers to remove liquids and electronics from bags, as well as shorter queues during busy periods. Industry observers expect US hubs to follow a similar trajectory as TSA-approved CT and AI solutions become more widely available.
Smaller and regional airports could also benefit as vendors begin to offer modular and scalable systems tailored to lower passenger volumes. Smiths Detection has highlighted modular CT solutions in its baggage and air cargo portfolio, designed to fit within existing terminal footprints and baggage-handling layouts without major construction, which can be a critical factor for airports with limited space or budgets.
However, the transition to AI-centric screening will depend on funding cycles, airport readiness and the pace at which TSA finalizes program frameworks. Certification is a foundational step, but airlines, airport authorities and federal agencies will still need to balance capital costs, integration timelines and training requirements against the potential gains in security and passenger experience.
Competitive Landscape for AI Security Tech in the US
Smiths Detection is one of several global suppliers competing to define the next generation of airport screening in the United States. Other manufacturers are also pursuing TSA certifications for CT scanners, body-imaging systems and automated screening lanes, many with their own AI and machine learning capabilities. This competitive environment is expected to intensify as more platforms achieve certified status and as upcoming TSA programs open to multiple vendors.
Industry analysts point out that certification alone is unlikely to be the deciding factor in future awards. Factors such as interoperability, ease of integration with existing airport IT systems, lifecycle costs and the flexibility to host third-party analytics are increasingly important. Smiths Detection has positioned its systems as “future-ready,” emphasizing open architectures and software-defined capabilities that can be updated as new threats emerge or new regulations are introduced.
The rise of AI for threat detection is also prompting discussions around data privacy, cybersecurity and algorithm transparency. Product documentation for systems such as the HI-SCAN 6040 CTiX notes compliance with stringent information security standards, including ISO 27001, to address concerns about the handling of image data and integration into airport networks.
As US airports look ahead to a decade of incremental upgrades, the latest TSA certification for Smiths Detection’s AI screening technology underscores how regulatory approval, advanced analytics and flexible hardware platforms are converging. Travelers are unlikely to notice the technical details, but the shift may mean faster lines, more consistent security decisions and screening systems that adapt more rapidly to evolving threats.
Smiths Detection: HI-SCAN 10080 XCT TSA Air Cargo qualification
Smiths Detection: Automatic detection at your security checkpoint