VILNIUS, Lithuania, Aug. 2, 2016 /PRNewswire/ -- Neurotechnology, a provider of high-precision biometric identification and object recognition technologies, today announced the release of the SentiVeillance 5.0 software development kit (SDK). This latest version of SentiVeillance incorporates the new VeriLook face recognition algorithm featured in MegaMatcher 9.0, providing five times higher accuracy in identifying full frontal faces and 10 to 15 times higher accuracy for unconstrained facial recognition than the previous release. SentiVeillance 5.0 works with images from surveillance cameras, making it suitable for a wide range of applications in surveillance, security and public safety.
SentiVeillance uses the face recognition algorithm to match face images against internal databases, such as authorized personnel or criminal watch lists. This allows a SentiVeillance-based application to trigger alerts for recognized or unrecognized faces.
"Using state of the art technology, called deep neural networks, we were able to significantly improve facial recognition accuracy, especially for unconstrained scenarios," said Ignas Namajunas, surveillance technologies research lead for Neurotechnology.
The significantly higher accuracy for unconstrained facial identification is based on a smaller False Rejection Rate (FRR) at the same False Acceptance Rate (FAR) value.
In addition to face tracking and recognition, SentiVeillance provides real-time moving object detection; tracking and classification for pedestrians, vehicles and other predefined object classes based on size and speed of movement; and area control by event triggering when people or objects enter, leave or stay in restricted areas.
The SentiVeillance 5.0 SDK is available through Neurotechnology or from distributors worldwide. For more information and trial version, go to: www.neurotechnology.com. As with all Neurotechnology products, the latest version is available as a free upgrade to existing SentiVeillance customers.
Neurotechnology is a provider of high-precision software and development products for biometric fingerprint, face, iris, palmprint and voice identification; object recognition; AI and robotics. Drawing from years of academic research in the fields of neuroinformatics, image processing and pattern recognition, Neurotechnology was founded in 1990 in Vilnius, Lithuania and released its first fingerprint identification system in 1991. Since that time the company has released more than 130 products and version upgrades for identification and verification of objects and personal identity. More than 3000 system integrators, security companies and hardware providers integrate Neurotechnology's algorithms into their products, with millions of customer installations worldwide.
Jennifer Allen Newton
Bluehouse Consulting Group, Inc.
jennifer (at) bluehousecg (dot) com
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