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January 22, 2021

Dane County Regional Airport deploys 3D scanners for explosives detection

The US Transportation Security Administration (TSA) at Dane County Regional Airport (MSN) has started using advanced computed tomography (CT) checkpoint scanners at its security checkpoints.

The US Transportation Security Administration (TSA) at Dane County Regional Airport (MSN) has started using advanced computed tomography (CT) checkpoint scanners at its security checkpoints.

The two CT checkpoint scanners provide cutting-edge 3D imaging, which will enhance security standards at the airport.

TSA Wisconsin federal security director Mark Lendvay said: “Along with providing critical explosives detection capabilities, this new technology improves the ability for our TSA officers to determine whether an item inside a carry-on bag is a possible threat.”

To detect explosives, the system uses sophisticated algorithms and creates a 3D image that can be viewed and rotated on three axes for improved visual analysis by a TSA officer.

In case a luggage needs additional screening, TSA officers will examine it to ensure that the bag does not contain any hazardous item.

With the help of 3D imagery, TSA officers will be able to manipulate the image on the screen to get a better view of the contents within a bag, thereby eliminating the need for them to carry out manual inspections.

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Lendvay added: “This state-of-the art technology helps reduce touchpoints during this pandemic, at the checkpoint, and it also reduces the need for pulling aside a bag to be opened.”

The agency said that the equipment is similar to those used for scanning checked luggage for explosive devices.

The scanners have been built to fit at the airport checkpoints and can automatically detect explosives, including the liquid kind, by taking hundreds of images with an X-ray camera spinning around the conveyor belt.

Recently, TSA at Eppley Airfield in the US deployed a credential authentication technology (CAT) unit that authenticates the validity of travellers’ identifications (IDs), along with their flight information, in near real time.

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