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To test the false rejection rate, I chose a maxed out setup: The computer I used for the tests is installed close to a window on the south side, so light conditions vary a lot. See for yourself in the video below.įor the purpose of this review I have created 7 face models in KeyLemon at different light conditions.
With only a picture of the subject, a bit of editing in Microsoft Paint and a smartphone I completed this hack of KeyLemon. I succeeded very quickly to fool KeyLemon. eye blink detection activated and requiring 1 blinks.Does it work? Security, false acceptance rateįor testing security, false acceptance rate, I chose the following setup:
During the logon process KeyLemon will ask to blink your eyes, this liveness check will make it more difficult for someone to logon using an image or video.Ĭonfiguration options specific for the gold edition. In the gold edition you can activate eye blink detection.
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Without this option KeyLemon might have difficulty performing face recognition at night when your face model was created during the day time, or vice versa. In the gold edition you can store multiple face models allowing face recognition in different lighting conditions.LemonLock locks the session after a configurable period of inactivity, if it detects that you are no longer sitting in front of the computer.
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MS Windows Vista, MS Windows 7, 8, 8.1, MAC OS X 10.6 up to 10.10 KeylemonĦ4bit processor, 1GB RAM, 200MB hard drive space, USB webcam or integrated webcam also includes the option to use speaker recognition.įor this article we tested KeyLemon version 3.1.1 gold edition on MS Windows 7 Home Edition, using a Logitech C500 webcam (1.3 megapixels).
KeyLemon replaces the standard MS Windows logon and session lock-out with a face recognition dialog using a standard webcam. This review is on their face recognition software also called KeyLemon.Ī few years back we reviewed and fooled KeyLemon version 2.3.1, now let’s see how this biometric software has evolved. KeyLemon is a company from Switzerland specialized in face recognition and speaker recognition.