Allevate and Tygart unveil facial recognition media exploitation system for European law enforcement

May 9, 2013 - 

Allevate and Tygart Technology have just joined forces to offer a solution that automates forensic bulk-processing of media for intelligence purposes to cost-constrained European law enforcement agencies.

Supported by Tygart, Allevate has now incorporated Tygart’s MXSERVER into its portfolio of solutions available to European intelligence, law enforcement and government agencies. According to the company, Tygart’s MXSERVER processes vast amounts of textual, video and photo collections quickly – automatically discovering, grouping and extracting segments depicting people. Using facial recognition, MXSERVERsearches media archives to find other assets which depict individuals of interest.

“Having previously supported Tygart on contracts to US Federal agencies, the significant advantage their solution provides by automating the processing of previously unmanageable quantities of multimedia was immediately apparent,” Carl Gohringer, founder and Manageing Director of Allevate said. “Allevate is proud to be working with such a reputable organisation to help law enforcement enhance the safety of society in Europe.”

As the software is optionally available on a subscription basis in the UK, the two companies argue organizations can minimize their capital outlay and quickly improve efficiency.

“Allevate’s experience of biometric technology, their extensive network and their comprehensive understanding of public safety in Europe make them an ideal partner for us, and we’re delighted to be working with them to introduce the benefits of MXSERVER to the European market.”


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Adam Vrankulj is an editor for His background consists of online news writing, editing and content marketing. Adam has written for, BlogTO and was the editor and curator for the nextMEDIA and CIX Source publications. He has a degree in journalism and is passionate about science, technology and social innovation. Contact Adam, or follow him at @adamvrankulj