Automatic detection at your security checkpoint

Taking checkpoint security to the next level

Automatic detection at your security checkpoint can help create better security outcomes, reduce overall operational costs, and minimize contact between passengers and operators as well as the number of contact points throughout the security screening process.

ECAC EDS CB regulations introduced in 2015, require the automatic detection of explosives in cabin baggage which has resulted in several technology advances to deliver more accurate detection, helping operators to uncover previously difficult to identify threats.

Computed tomography (CT) technology further creates enhanced checkpoint security and automation by delivering a high level of explosives detection while scanning hand luggage without the need to remove electronic devices and liquids. This expedites screening, improves passenger experience and reduces touchpoints.

Using artificial intelligence algorithms and advanced automatic object recognition further enables automation at the checkpoint. With iCMORE, airports achieve improved detection performance and therefore increase security.

Key benefits of automatic detection


Automatic detection of explosives using next generation technology improves detection rates and helps expose threats previously difficult to identify.


Greater screening efficiency enables fewer staff to cope with passengers and their belongings and increases productivity – in turn lowering the cost per head.


Automation reduces manual processes for both passengers and operators, creating a much smoother, less stressful experience with less physical contact.

Explosive detection systems for cabin baggage

Which benefits can your airport gain from automatic detection of explosives in cabin baggage? See the full range of EDS CB C1, C2 and C3 approved checkpoint screening solutions and find out.

C1: Automation Eliminates Random Searches
No more random checks using additional trace detectors, dogs or manual searches.
C2: No Need To Remove Electronic Devices
C2 approved systems take automation a step further by allowing electronic devices to remain in hand luggage for scanning.
C3: A New Level of Checkpoint Security
Approved for this standard, the HI-SCAN 6040 CTiX utilises the very latest technology and delivers a fully automated process – no need to remove electronic devices and/or liquids.
Next Generation CT Screening at the Checkpoint

The world’s leading ECAC EDS CB C3 approved checkpoint CT scanner, the HI-SCAN 6040 CTiX is ready to meet evolving threats. It is easy to integrate, has the highest certifications and quiet operation.

First airport in the world to install HI-SCAN 6040 CTiX
Jeju International Airport installed the Smiths Detection HI-SCAN 6040 CTiX to harness the latest Computed Tomography (CT) X-ray technology for checkpoint screening.
Installing the CTiX across America
In 2019, Smiths Detection was awarded a contract to supply advanced CT checkpoint systems to airports across the US through the TSA ATCT program.
Top level security – from simulation to reality
Kerry Airport Ireland replaced existing passenger checkpoint security scanners with the latest ECAC EDS CB C3 compliant HI-SCAN 6040 CTiX scanners, to ensure the highest levels of security and a superior customer experience.

Next-level automation – Benefits of automatic prohibited items detection









iCMORE Weapons – Accurate, reliable weapon detection

Detecting handguns, gun parts, flick and fixed-blade knives, iCMORE Weapons was developed to support aviation security operators at passenger checkpoints, increase efficiency and detection accuracy.

Hong Kong International Airport trials advanced CT security technology
Securing passenger safety and service excellence is Hong Kong International Airport’s (HKIA) top priority. As part of its devotion to passenger safety and experience in May 2019, the airport partnered with Smiths Detection to trial the HI-SCAN 6040 CTiX, iLane.evo and iCMORE Weapons in terminal 2.
Automatic object recognition in Aviation Security
AI techniques such as deep learning have led to the development of smart, adaptable algorithms for automatic object recognition in aviation security.

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