SDK trial for large-scale multi-biometric civil and forensic systems (AFIS)

MegaMatcher SDK is designed for development of large-scale AFIS or multi-biometric fingerprint, face, voice, iris and palm print identification system for civil or forensic applications.
Multiplatform components for biometric template extraction and matching can be run on network with Linux, Windows and Mac OS X machines, and Android devices.
MegaMatcher includes fast and reliable fingerprint, face, iris and speaker recognition engines that can be used stand-alone or fused together for multi-modal matching. Performance can be scaled up by connecting multiple machines into a cluster.
WSQ format, BioAPI 2.0, ANSI/NIST, ANSI/INCITS and ISO/IEC family standards are supported.

The SDK includes: matching server and scalable fault-tolerant cluster software, API for latent fingerprint template editing, fingerprint pattern classification and segmentation tools, and more components.
.NET components are included for rapid system development.
Supported databases are: MySQL, PostgreSQL, Oracle, Microsoft SQL Server and SQLite.
More than 100 fingerprint scanner models from more than 40 manufacturers are supported, as well as webcams, iris cameras and multi-biometric devices.

ABIS sample in Java and .NET is available.

The trial requires constant Internet connection for each machine runnig the components during 30-day evaluation period.

Requirements:
PC with 2 GHz processor or better; smartphone or tablet with

What's new in this release:
Android support added. Facial attributes recognition - smile, closed-eyes, open-mouth, glasses detection added. Text-independent speaker recognition added.

Tags: • afis • automated • identification • system • fingerprint • face • iris • voice • voiceprint • speaker • biometric • scalable • rolled • server • cluster • iso • iec • ansi • nist • incist • wsq • large • scale • flat • plain • parallel • distributed • computing • .NET • Java

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Human verification, pictures should be rotated to stand up correctly: