Airport security to improve with hyperspectral X-ray camera

Share this on social media:

Scientists at The University of Manchester have developed a 3D colour X-ray camera that could radically improve security screening at airports or diagnose medical conditions more accurately.

The camera can take powerful three dimensional colour X-ray images, in near real-time, without the need for a synchrotron X-ray source.

The X-Ray system developed by Professor Robert Cernik and colleagues from The School of Materials can identify chemicals and compounds such as cocaine, semtex, precious metals or radioactive materials even when they’re contained inside a relatively large object like a suitcase.

The method could also be extended to detect strain in fabricated components, for example in aircraft wings, and it can be used to image corrosion processes and chemical changes.

In healthcare, the system can be used to detect abnormal tissue types from biopsy samples. In geophysical exploration it could be used to analyse the content of core samples taken from bore holes.

The camera sensor, made from cadmium zinc telluride, has an 80 x 80 pixel resolution that supports real-time hyperspectral X-ray imaging up to very high energies. The information from the camera can be used to fingerprint the material present at each point in a 3D image.

The camera takes several minutes to scan an object, which is quicker than building up lots of separate images (mapping). This has implications for using the X-ray system for medical purposes. Professor Cernik commented: ‘The fact the image can be taken at the same time as using more conventional methods and on the same timescale means more information can be gathered from biopsy samples. This will more accurately differentiate between normal and abnormal tissue types reducing mis-diagnosis.’

Recent News

25 May 2021

The face recognition imager consumes 10,000 times less energy than a typical camera and processor. CEA-Leti is working with STMicroelectronics on the imager

06 May 2021

The GTOF0503 sensor features a 5µm three-tap iToF pixel, incorporating an array with a resolution of 640 x 480 pixels

30 April 2021

The algorithm can deduce the shape, size and layout of a room by measuring the time it takes for sound from speakers to return to the phone's microphone

20 April 2021

The Kria K26 SOM is built on top of the Zynq UltraScale+ MPSoC architecture. It has 4GB of DDR4 memory and 245 IOs for connecting sensors