Neurotechnology Regains First Place in NIST PFT III Fingerprint Evaluation
Neurotechnology announced that the company returned to the top ranking in the National Institute of Standards and Technology (NIST) Proprietary Fingerprint Template III (PFT III) evaluation. The PFT III evaluation presents fingerprint verification benchmarks using four different datasets of fingerprints, in almost all of which Neurotechnology’s latest algorithm submission presented the most accurate scores.
MegaMatcher On Card 12 from Neurotechnology Features New Face Recognition and Fingerprint
Neurotechnology announced the release of the new MegaMatcher On Card software development kit (SDK). MegaMatcher On Card is an SDK for developing applications that feature biometric comparisons directly within the microcontroller of smart cards, and it includes optimized versions of the top ranked fingerprint, face and iris biometric algorithms from Neurotechnology. The latest version of the SDK includes a new implementation of the face recognition algorithm with a biometric data template size lower than 256 bytes.
Neurotechnology Releases New SentiVeillance 8.0 SDK
Neurotechnology announced the release of the SentiVeillance 8.0 software development kit (SDK). With SentiVeillance SDK, developers can create identification solutions that use live video streams from digital surveillance cameras or video files. The latest version adds face detection and recognition of people who are wearing masks and includes new algorithms that improve license plate detection and recognition speed and accuracy.
Neurotechnology’s Proprietary Fingerprint Recognition Algorithm Tops Test at FVC-onGoing
Neurotechnology announced that the company’s proprietary fingerprint recognition algorithm achieved the highest accuracy in the latest FVC-onGoing fingerprint verification results. The fingerprint extractor and matcher, which are included in Neurotechnology’s MegaMatcher SDK, were ranked as the most accurate for both FV-STD-1.0 and FV-HARD-1.0 benchmarks.
New Neurotechnology MegaMatcher 11 Multi-Biometric Product Line Includes Major Enhancements
Neurotechnology announced the release of the new MegaMatcher 11 line of biometric solutions, cloud technologies and software development kits (SDKs). The latest versions include major algorithm enhancements that improve accuracy, speed and interoperability across multiple biometric modalities: fingerprint, face, iris, voice and palmprint – any of which can be used alone or in combination. The algorithms in the new MegaMatcher 11 product line—which are among the top ranked in the NIST MINEX, PFT, FRVT and IREX evaluations—are available in a variety of formats.
Latest MegaMatcher 12.3 Multi-Biometric Product Line Provides Fast Performance With High Accuracy
Neurotechnology announced the release of the new MegaMatcher 12.3 multi-biometric product line, including updates to the MegaMatcher software development kit (SDK) and to MegaMatcher Accelerator – a combined software and hardware solution that provides high-speed, high-volume biometric identification for national-scale projects. The latest versions include enhanced facial and iris recognition algorithms with improved liveness detection.
SkyBiometry Updates Cloud-Based Face Detection and Recognition API
SkyBiometry announced the release of the new version of its face detection and recognition algorithm. Significant enhancements make the algorithm much more accurate and allow for a wider range of facial attributes in the detection process. The latest face detection algorithm locates many more faces in varied and difficult conditions. The new version’s face recognition accuracy is five times higher when set at a low False Acceptance Rate.
SentiVeillance Provides Biometric Identification and Object Tracking for Video Surveillance Systems
Neurotechnology, a provider of high-precision biometric identification and object recognition technologies, today announced the availability of the SentiVeillance 4.0 software development kit (SDK). This latest version has a new name and provides a number of enhancements over the previous version (known as VeriLook Surveillance 3.1) that support its use in a wider range of surveillance, security, and public safety applications. Working with live video streams from single or multiple high-resolution digital surveillance cameras, the new SentiVeillance provides real-time object detection and classification, biometric face identification of multiple people moving in different directions.
Facial Recognition Market to See 27.7% CAGR to 2018: Analysis of Emotion, Thermal, Mobile, Forensic, Facial Recognition
The global facial recognition market is estimated to grow from $1.92 billion in 2013 to $6.50 billion in 2018. This represents a Compound Annual Growth Rate (CAGR) of 27.7% from 2013 to 2018. In the current scenario, government and utilities are expected to be the largest adaptor for face recognition technology. In terms of regions, North America is poised to be the biggest market for face recognition. However, over the next five years, APAC will experience increased market traction, to become the biggest facial recognition market globally.