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DIGI INFO LLC Press releases

11 - 20 of 27 Press Releases

May 20, 2010
DIGI-T5 new Biometric Time Attendance product with elegant design case, Built in strong U.S.A Intel32bit fingerprint embedded standalone module, Support finger 360 degree identification, easy to use, identification speed is 3000 templates/second.

May 20, 2010
When it comes to buddy-punching (When one employee clocks in for another), no other biometric solution can be compared to hand geometry. The reading and verification process takes less than a second with impeccable reliability.

May 16, 2010
DIGI INFO Launches world's most advanced Web Browser based solution with SSL Encryption for Biometric fingerprint time attendance and access control systems in UAE with web based software and inbuilt camera.

May 16, 2010
DIGI INFO launches most advanced web based solution for cctv security cameras solution for Live online monitoring through web browser from anywhere and anytime.

Apr 10, 2010
DIGI-BIO-iClock is a most advanced and user friendly multimedia biometric fingerprint time attendance and access control terminal with GPRS function and In-Built camera and battery backup.

Jan 09, 2010
DIGI-F8 is today's best access control technology with Biometric Fingerprint authentication and the best tool for security and protection.Only authenticated users can access the authorised entrances.It has options of card & pin also with USB Port.

Jan 09, 2010
DIGI-K300 is the most advanced and affordable Card and pin based time attendance system with work code, network,serial and usb ports & software. SDK comes free with device for interface with any existing payroll or HRM software

Nov 18, 2009
iGuard Biometric Device has a built-in Web Server enables computers in the corporate network to directly & simultaneously access the device using any Internet Browser.Different platforms Apple Macintosh, Microsoft Windows & Linux can access device.

Oct 02, 2009
Face recognition technology means to match the characteristics of a face to identify or verify an individual. Camera is used to capture an image of the face, which will be processed and analyzed to identify the biometric characteristics.

Sep 13, 2009
2009 Version of algorithms are in the systematic dependability, accuracy, fingerprints identification improved obviously, identification speed is 3000 templates/second.

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