The two parties are joining forces for a £750,000 research project to provide fast, accurate 3D x-ray images of suitcases and baggage.
The project is being funded jointly by the UK-based Rapiscan Systems and the British government's Engineering and Physical Sciences Research Council.
The aim is to maximise the effectiveness of an innovative new 3D scanner developed by Rapiscan Systems' research subsidiary CXR Ltd.
The current breed of airport scanning machines give security staff a flat, one-dimensional view of the contents of a bag, where as the CXR machine uses multiple x-ray sources to provide a more comprehensive and probing 3D image.
Although hospital-style CT scanners have been adapted on a small-scale for baggage scanning, the system is too slow to be widely used in airports.
Academics from The University's School of Mathematics will apply complex maths to ensure data gathered by the CXR scanner is translated quickly and accurately into a dynamic 3D image.
Professor Bill Lionheart of The University Manchester's School of Mathematics said: "CXR is at the cutting edge technologically in a fast-moving field. I am always excited about working on projects like this, where I can tackle a theoretical challenge and see the results being practically employed."
"Hospital-style CT scanners have been used on a small scale for 3D baggage screening, but they are simply to slow for routine use," said Rapiscan Systems' UK Managing Director, Frank Baldwin. "The CXR machine is faster because it uses multiple x-ray sources that are switched, rather than the traditional source on a rotating gantry."
He added that the project represents a perfect partnership of academic expertise and advanced industrial engineering. "Airport security has never been a more critical issue, and we are delighted to have this opportunity to work with Professor Lionheart and his team towards developing this ground-breaking innovation."
According to CXR Director Ed Morton, translating data from multiple sources to provide a 3D image on a monitor screen presents some interesting mathematical challenges.
"We have developed specialised computer hardware and software to process the information, but we need to achieve the fastest, most accurate results possible. We called in experts from the University of Manchester's School of Mathematics to help us develop the novel maths and computer algorithms required."
Professor Lionheart specialises in inverse problems, which typically means working out what is going on inside something from measurements taken outside. He has worked on image reconstruction problems in medical scanning as well as imaging industrial processes such as the flow of molten metal within pipes in a steel mill.
New players, standardization and digitalization for more rail freight transport
16.07.2018 | Fraunhofer-Institut für System- und Innovationsforschung (ISI)
A helping (Sens)Hand
11.04.2018 | Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO
What if, instead of turning up the thermostat, you could warm up with high-tech, flexible patches sewn into your clothes - while significantly reducing your...
A widely used diabetes medication combined with an antihypertensive drug specifically inhibits tumor growth – this was discovered by researchers from the University of Basel’s Biozentrum two years ago. In a follow-up study, recently published in “Cell Reports”, the scientists report that this drug cocktail induces cancer cell death by switching off their energy supply.
The widely used anti-diabetes drug metformin not only reduces blood sugar but also has an anti-cancer effect. However, the metformin dose commonly used in the...
A research team from the University of Zurich has developed a new drone that can retract its propeller arms in flight and make itself small to fit through narrow gaps and holes. This is particularly useful when searching for victims of natural disasters.
Inspecting a damaged building after an earthquake or during a fire is exactly the kind of job that human rescuers would like drones to do for them. A flying...
Over the last decade, there has been much excitement about the discovery, recognised by the Nobel Prize in Physics only two years ago, that there are two types...
What if a sensor sensing a thing could be part of the thing itself? Rice University engineers believe they have a two-dimensional solution to do just that.
Rice engineers led by materials scientists Pulickel Ajayan and Jun Lou have developed a method to make atom-flat sensors that seamlessly integrate with devices...
12.12.2018 | Event News
10.12.2018 | Event News
06.12.2018 | Event News
13.12.2018 | Life Sciences
13.12.2018 | Physics and Astronomy
13.12.2018 | Earth Sciences