KeyLemon Blog

KeyLemon coming to Windows 8

Posted on July 13, 2012 by Kay | No Comments

We are happy to anounce that the KeyLemon Dev-Team is currently hard working on a migration of our software to the next Microsoft operating system called Windows 8. We are very exited to try out ways how we will implement KeyLemon to the new Metro surface of Windows 8 and it's design. There are already really good looking prototypes of a login screen and we keep improving for it.     Also, we are always trying to find new ways making it impossible to login with videos and photos. We came up with the idea ...

Evolution of KeyLemon licensing system

Posted on March 26, 2012 by Pascal | No Comments

Evolution of KeyLemon licensing system Up to version 2.6.1, licensing system were different for Windows and Mac version of KeyLemon. In order to make the things clearer for the user, we decided to bring some effort to unify the licensing systems. This is now done since version 2.6.2. (See details of release notes for Windows and Mac) Starting from version 2.6.2, KeyLemon also allows you to deactivate the software to transfer the license to a new machine.

New KeyLemonFaceSDK : Easier testing and C# capture wrapper

Posted on February 29, 2012 by Christophe | 1 Comment

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KeyLemon launches its new KeyLemonFaceSDK Easy and fast SDK performance evaluation The biometry testing has become easier. No more compilation or development tool needed!

KeyLemon 2.5 for Windows

Posted on October 4, 2011 by Pascal | 1 Comment

We are excited to announce that KeyLemon 2.5 is now available for the world, just one monhts after 2.4.4. This new release comes with two main new features: Multiple face model management Anti-spoofing check for login 1. Multiple face model management The profile tab has changed significantly and allows you to add new face models to improve recognition in different lightning environment. For each face model, you can see under the model name: the number of authentications (number of time you have been logged using this face model) the mean time of recognition These statistics will ...