Rio de Janeiro, Brazil, October 13, 2017 –(– CyberExtruder's UK-based partner Allevate has reported its resellers in Brazil are seeing significant success with BRMalls, one of the largest shopping mall chains in South America, and an early adaptor of the Face-Searcher cloud service.

BRMall's Security Manager Jesse Barbosa, having used the integrated system in their flagship mall in Rio de Janeiro since July, said, "The identification of five criminals already has proved to us how effective it is in supporting our daily operations."

In further comments, Mr. Pampurre, head of Security for BRMalls, said the system "…is a crucial tool to support us in combatting criminality."

About CyberExtruder
CyberExtruder develops facial recognition technology for a broad spectrum of real-world, government and commercial applications worldwide. Designed for OEM's, integrators and end-users, CyberExtruder's proprietary 3D face modeling technology mitigates the challenges of pose, lighting, and expression. A convolutional neural network enhances the ability to train algorithms and deliver ever-increasing performance.Visit for more information.

About Allevate
Founded in London in 2007, Allevate works with law enforcement, intelligence, and government agencies to enhance public safety by ensuring positive identification through the application of biometric and identification technology. Allevate's Face-Searcher is built on the industry-proven MXSERVER from Tygart Technology, Inc. and incorporates state-of-the-art biometric algorithms from CyberExtruder. Face-Searcher enables organizations to utilize facial recognition as a hosted cloud service. Visit for more information.

About Tygart Technology
Tygart Technology, Inc. is a leading provider of enterprise-grade video and photographic analysis and biometric recognition systems. Tygart provides the U.S. Military, Intelligence Community and Law Enforcement markets with innovative software solutions that manage and automate the processing of massive volumes of digital video and photograph collections. Visit for more information.

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