CUMA RAM INC.

Tinley Park, IL 60477

COMPANY OVERVIEW

About CUMA RAM INC.

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Tinley Park, IL 60477
United States
http://cumaram.com
708-426-9921

More Info on CUMA RAM INC.

CUMA RAM, INC. started as a dream turned concept turned reality. As a combined effort by founders Master Waysun "Johnny" Tsai, Doug Murdaugh and Matt Kurland, CUMA Ram has quickly become one of the premier Tactical Pen Manufacturers, as well as Self-Defense/Tactical Training Facilities in the world.

With our 20,000 sq/ft manufacturing facility in Tinley Park, IL we are able to manufacture all of our products 100% in the USA. This facility also provides the capability to produce small semi-custom batches, allowing us to personally oversee quality control on each piece before it ships out.

Within our Tinley Park facility, we have built a 6,000 sq/ft area as an exclusive self-defense/tactical training facility. The training facility has a private boxing club, private training rooms, and a large area for group training seminars capable to host up to 200 adults.

It is the combined efforts and expertise, as well as combining products and training that make it possible for us to translate everything from "Tactical to Practical." ? e?9x?: add-ons. In MegaMatcher 4.0, Neurotechnology has incorporated palmprint technology along with the latest versions of their popular VeriFinger (fingerprint), VeriEye (iris) and VeriLook (facial) biometric SDKs – all of which are now built on a common architecture and feature a common programming interface. This tight integration enables developers and integrators to more quickly and easily develop systems that use any of the different biometric components singularly or in combination for increased flexibility and reliability.

“In the last few years, we have been approached by customers requesting that we unify our API for different platforms as well as different biometric modalities,” said Pavel Cuchriajev, software development team lead for Neurotechnology.  “Now our customers will have a consistent programming model across all biometric modalities, starting with image capture from a biometric device and ending with examination of matching results across all platforms and programming languages,” Cuchriajev added.

The new product line of VeriFinger, VeriEye and VeriLook SDKs, which are available separately as well as being components of MegaMatcher, offer a number of enhancements over previous versions. Among the significant changes is the new complete MegaMatcher SDK API for Java, which allows tighter integration with common Java development environments and provides the same full support of MegaMatcher SDK functionality as for the .NET Framework and C/C++. The new device management component provides the same cross-platform API on Windows, Mac and Linux platforms and is consistent for C/C++, .NET Framework and Java programming languages for all supported devices: single flat, rolled and multi-finger scanners, palmprint scanners, iris scanners and cameras. Neurotechnology worked side by side with device vendors to integrate both new and old devices with this new component, ensuring outstanding stability and integration. Other changes in MegaMatcher SDK include improved WSQ support. 

In addition to the cross-product additions, the new individual biometric SDKs include enhancements to reliability and performance. The new VeriEye 2.3 algorithm provides a 70% increase in iris matching speed while keeping the same high level of reliability as the previous version. The VeriLook 5.0 facial identification algorithm offers even higher reliability than version 4.0, with a 20% to 50% decrease in the False Rejection Rate comparatively. VeriFinger 6.3 increases reliability with a new fingerprint segmentation component that provides a 20x decrease in the segmentation error rate with a simultaneous 10x increase in segmentation speed.

Neurotechnology first released MegaMatcher as an automated fingerprint identification system (AFIS) in 2005, then added a facial recognition engine in version 2.0, with a fusion algorithm that allowed the two technologies to work together to provide very fast 1:N (1 to many) matching with even higher reliability than AFIS or facial recognition alone. In subsequent versions, enhancements to MegaMatcher included add-ons for iris and palmprint identification. Now, with MegaMatcher 4.0, all four biometric technologies are incorporated natively, with very fast, highly accurate algorithms that are designed to work together in any combination.

Large-scale government and commercial solutions worldwide depend on MegaMatcher technology as the biometric engine for high-volume, high security applications, including: election control, passport and visa documentation, border control, criminal investigations and duplicate searches in large-scale databases. MegaMatcher supports most biometric industry standards, and because the MegaMatcher fingerprint recognition algorithm is NIST MINEX-compliant, it is suitable for use in US Government Personal Identity Verification program fingerprint recognition applications.

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Maysun "Johnny" Tsai

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