Neurotechnology releases new embedded SDKs for developing surveillance systems
New versions of Neurotechnology's software development kits (SDKs) are available for biometric fingerprint, face, iris, and voice identification and object recognition.
New versions of software development kits (SDKs) are available for biometricfingerprint, face, iris, and voice identification and object recognition. The recent upgraded SDKs include VeriFinger 6.5, VeriLook 5.2, VeriLook Surveillance 2.1, VeriEye 2.5, VeriSpeak 1.1, MegaMatcher 4.3, and SentiSight 3.1. The updated product line also includes new embedded versions of VeriFinger, VeriLook and MegaMatcher as well as the introduction of VeriEye Embedded for iris, VeriSpeak Embedded for voice and SentiSight Embedded object recognition technologies for use in smart phones and other mobile devices. All embedded SDKs are designed for the Java development environment and support the Android operating system.
-- Posted by Vision Systems Design
NEW PRODUCT PRESS RELEASE
Biometric Fingerprint, Face, Iris, Voice and Object Recognition Technologies in Latest Product Updates from Neurotechnology
Software development kits from Neurotechnology enable development of single and multi-biometric solutions, embedded biometrics and object recognition systems.
Vilnius, Lithuania – Neurotechnology, a provider of high-precision biometric identification and object recognition technologies, has released new versions of the company’s product line of Software Development Kits (SDKs) for biometric fingerprint, face, iris and voice identification and object recognition. The latest versions include VeriFinger 6.5, VeriLook 5.2, VeriLook Surveillance 2.1, VeriEye 2.5, VeriSpeak 1.1 and MegaMatcher 4.3 for biometric fingerprint, face, iris, voice and multi-biometric identification, respectively, as well as SentiSight 3.1 for object recognition and robotic vision applications. The updated product line also includes new embedded versions of VeriFinger, VeriLook and MegaMatcher as well as the introduction of VeriEye Embedded for iris, VeriSpeak Embedded for voice and SentiSight Embedded object recognition technologies for use in smartphones and other mobile devices.
“Our new product line includes updates to all of our main SDKs, allowing customers to develop faster and more reliable applications,” said Algimantas Malickas, CEO of Neurotechnology. “The new versions of our embedded SDKs can be used on Android devices for development of a full-range of single or multi-modal biometrics applications and object recognition systems, from simple smartphone applications to large governmental projects.”
Updates to Neurotechnology’s biometric and object recognition algorithms provide a number of enhancements over previous versions.
VeriFinger 6.5 SDK for fingerprint identification includes significant enhancements over the previous version in terms of recognition reliability, with a 20% decrease in the false rejection rate (FRR) when set at the same false acceptance rate (FAR). The new VeriFinger Embedded 1.1 SDK uses the new VeriFinger 6.5 algorithm.
VeriLook 5.2 SDK for facial identification also includes improvements in recognition reliability with particular enhancements for recognition of faces that are rotated out-of-plane. Both VeriLook Embedded 1.1 SDK and the new VeriLook Surveillance 2.1 SDK use the new VeriLook 5.2 algorithm.
VeriEye 2.5 SDK for iris identification includes a faster algorithm and a new template extraction option. With the new VeriEye Embedded 1.0 SDK, based on the VeriEye 2.5 algorithm, iris recognition is now available for use in embedded applications.
VeriSpeak 1.1 SDK for voice identification includes the addition of new pause detection technology and the ability to recognize both unique pass-phrases for each user as well as fixed phrases – phrases that are the same for all users – by recognizing the user’s unique voice. With the introduction of VeriSpeak Embedded 1.0 SDK that utilizes the VeriSpeak 1.1 algorithm, voiceprint identification is now possible for use in smartphones and other mobile devices.
MegaMatcher 4.3 SDK for large-scale biometric solutions includes all improved algorithms, making it possible to develop multi-biometric solutions using any combination of fingerprint, face, iris and voice identification technologies for added accuracy and reliability. MegaMatcher Embedded 1.1 SDK includes all new embedded versions.
SentiSight 3.1 SDK for object recognition and computer vision includes a new algorithm that is twice as fast as the previous version and now provides the ability to track multiple objects at the same time. The new SentiSight 3.1 algorithm is now available for the first time in an embedded version, SentiSight Embedded 1.0 SDK, for the development of object recognition, robotics, augmented reality and mobile law enforcement applications such as tattoo recognition.
All embedded SDKs are designed for the Java development environment and support the Android operating system.
The new Neurotechnology product line is available with highly competitive licensing options through Neurotechnology or from distributors worldwide. 30-day trial versions with full functionality are also available for download.
Neurotechnology is a provider of high-precision biometric fingerprint, face, iris, palmprint and voice identification algorithms, object recognition technology and software development products. More than 2500 system integrators, security companies and hardware providers integrate Neurotechnology’s algorithms into their products, with millions of customer installations worldwide.
Neurotechnology’s identification algorithms have consistently earned the highest honors in some of the industry’s most rigorous competitions, including the National Institute of Standards and Technology (NIST)’s Fingerprint Vendor Technology Evaluation (FpVTE), the Iris Exchange (IREX) and the Fingerprint Verification Competitions (FVC).
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 80 products and version upgrades for identification and verification of objects and personal identity.