Neurotechnology

jects and personal identity. BIOMETRIC TECHNOLOGIES AND PRODUCTS

Neurotechnology's fingerprint identification algorithms have shown one of the best results for reliability in major biometric competitions and evaluations, including the National Institute of Standards & Technology (NIST) Minutiae Interoperability Exchange III (MINEX III), Proprietary Fingerprint Template Evaluation II (PFT II) and Fingerprint Vendor Technology Evaluation for the US Department of Justice (FpVTE 2012). The company's MegaMatcher fingerprint identification engine has been recognized by NIST as fully MINEX compliant allowing to use it in U.S. Government Personal Identity Verification program (PIV) fingerprint recognition applications. Previously, the fingerprint recognition algorithms have received awards in the International Fingerprint Verification Competitions (FVC2006, FVC2004, FVC2002 and FVC2000). VeriEye iris identification engine has been tested in the NIST Iris Exchange (IREX) Evaluation and recognized as one of the most reliably accurate iris recognition algorithms among those tested. In 2004 Neurotechnology began research in artificial intelligence (A.I.), computer vision and mobile autonomous robotics fields, and in the same year the company's AI division was founded. The company's object recognition, surveillance, eye movement tracking and 3D object model reconstruction technologies use advanced computer-based vision algorithms and are applicable to a variety of applications, as well as for generic robot and machine vision. In 2014 Neurotechnology released SentiBotics – a ready-to-use robotics development kit. SentiBotics enables the rapid development and testing of mobile robots and comes with software, sample programs, a tracked platform and grasping robotic arm, 3D vision, object recognition and autonomous navigation capabilities. The kit includes a mobile robotic platform with a 3D vision system, modular robotic arm and accompanying Neurotechnology-developed, ROS-based software with complete source code and programming samples. In 2017 Neurotechnology researchers won first place in a Kaggle competition with deep neural network based computer vision solution for classifying fish species. ULTRASOUND RESEARCH GROUP

In 2014 Neurotechnology's Ultrasound Research Group started working on ultrasonic 3D printing projects and other ultrasound-related research. In 2017 the Ultrasound Research Group announced that it is developing a new, patent-pending ultrasonic 3D printing technology. This new technology is intended to enable 3D printing and assembly of almost any type of object using a wide range of different materials and components.