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Catching Smugglers With Technology To Detect Guilt

Date:
October 20, 2008
Source:
University of Bradford
Summary:
Researchers are looking to increase security at border controls by developing a computer system that can detect guilt.
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Researchers are looking to increase security at border controls by developing a computer system that can detect guilt.

Dr Hassan Ugail, Head of Visual Computing Research at the University of Bradford’s School of Informatics, is part of a team working on a £500,000 project to develop technologies that would assist the border control agencies in identifying people trying to smuggle contraband goods or narcotics through customs.

The project, which starts in December 2008 and will last over two years, also involves Dr Reyer Zwiggelaar from the University of Aberystwyth and is being funded by the Engineering and Physical Sciences Research Council (EPSRC). The research team will also collaborate closely with the Home Office, HM Revenue & Customs and leading international defence and security technology company QinetiQ.

The main aim of the project is to develop technology that can profile people as they pass through border controls to help security agencies identify smugglers. If implemented, the ideal outcome would be to increase identification of smugglers and decrease the amount of contraband and drugs entering the UK.

The technology will use a technique called ‘real-time dynamic passive profiling’ based on the modelling of facial expressions, eye movement and pupil changes in both the visual and thermal terms. This will then link to malicious intent and physiological processes such as blood flow, eye movement patterns and pupil dilation.

Dr Ugail explains: “What we are proposing to develop is essentially a passive lie detector. We aim to automatically analyse peoples’ facial expressions and eye movements in response to a series of questions through video images and computer-based intelligent algorithms.

“For example, trained officers at the border control points are very good in spotting people carrying contraband by simply analysing their facial expressions in response to questions but it is tricky to teach a machine to do this.

“However, some smugglers can be very good actors who can easily hide their emotions. That’s why we aim to extend this study to other non-visual domains such as the use of thermal imaging to study facial blood flow which is extremely hard to control.”

If successful, this work has a potential remit beyond border control applications. For example, the system could be used for police interrogations and interview scenarios. “Who knows - it could even be used to enhance our real-time computer gaming experiences,” added Dr Ugail.


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The above post is reprinted from materials provided by University of Bradford. Note: Materials may be edited for content and length.


Cite This Page:

University of Bradford. "Catching Smugglers With Technology To Detect Guilt." ScienceDaily. ScienceDaily, 20 October 2008. <www.sciencedaily.com/releases/2008/10/081002095014.htm>.
University of Bradford. (2008, October 20). Catching Smugglers With Technology To Detect Guilt. ScienceDaily. Retrieved July 31, 2015 from www.sciencedaily.com/releases/2008/10/081002095014.htm
University of Bradford. "Catching Smugglers With Technology To Detect Guilt." ScienceDaily. www.sciencedaily.com/releases/2008/10/081002095014.htm (accessed July 31, 2015).

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