Download Rohos Face Logon v3.3 – Windows Face Detection Lock
Rohos Face Logon is software for fast, easy and safe access to Windows computers by face detection using Windows-compatible cameras. In fact, once the person’s face is detected by the program, the user logs in automatically. Logon Face Rohos has powerful as well as secure algorithms for face detection, which allows you to store one or more images of the various users’ faces with a webcam for each of their personal accounts, and when logged in to The system will quickly and easily enter your personal account. So, Download Rohos Face Logon v3.3 latest version for free from here.
Rohos Face Logon provides user identification by biometric verification in a continuous process base on neural network technology.
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- Allows hiding the fact that facial recognition can be use to login, so nobody knows about facial recognition process.
- The last successful faces identification are logins.
- Various types of authentication are possible: regular password, USB drive, or face
The self-training feature remembers failed recognitions as well as allows you to automatically convert them to face models without registering new face models. This makes any additional facial registration process unnecessary.
How to Register Your Face
- Open the Not logged in dialog,
- Choose the patterns, and
- Click Register faces to save them as face models
Rohos Face Logon integrates into any Windows login model: Local PC login or AD network workstation, Windows XP / Vista home computer So, no compatibility problems will generate after installing Rohos Face Logon.
Key features of Rohos Face Logon Full:
- Automatic login or unlocking the desktop when your face is recognize
- Self-training – Helps to avoid face recognition failure
- Use a USB flash drive as a key for your computer or notebook
- Ability to combine both face recognition and a USB stick for login, or use them separately.
- Multi-user support – you can register the faces of several users for any user account!
- All registered face patterns are saved and any unsatisfactory ones can be delete
- Power saving feature – if there is no one in front of the web camera, the program stops using the camera and CPU to recognize faces
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