RevFace15
User Manual
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Copyright©2023 ZKTECO CO., LTD. All rights reserved.
Function Description
Function Name
Description
Anti-Spoofing
Settings
2D Monocular Anti-Spoofing:
It detects the spoof attempt using visible light
images to determine if the provided biometric source sample is of a real
person (a live human being) or a false representation.
2D Monocular Anti-Spoofing Threshold:
It facilitates judging whether the
captured visible image is a real person (a live human being). The larger the
value, the better the anti-spoofing performance using visible light.
2D Binocular Anti-Spoofing:
It uses near-infrared spectra imaging to identify
and prevent fake photos and videos attack.
2D Binocular Anti-Spoofing Threshold:
It is convenient to judge whether
the near-infrared spectral imaging is fake photo and video. The larger the
value, the better the anti-spoofing performance of near-infrared spectral
imaging.
Note:
For the Anti-Spoofing settings, the user needs to enable both 2D
Monocular Anti-Spoofing and 2D Binocular Anti-Spoofing. By default, when
one of the switches is turned on, the other one would be turned on
simultaneously.
When the option is turned on or off, the device reboots automatically to
execute the function.
Camera Exposure
Settings
Face AE:
In the Face AE mode, when the face is in front of the camera, the
brightness of the face area increases, and other areas become darker.
WDR:
Wide Dynamic Range (WDR) balances light and extends image visibility
for surveillance videos under high contrast lighting scenes and improves
object identification under bright and dark environments.
Anti-flicker Mode:
It is used when WDR is turned off. It helps to reduce flicker
when the device’s screen flashes at the same frequency as the light.
Face Identifying
Settings
1:N Threshold Value:
Under 1:N verification mode, the verification will only
be successful when the similarity between the acquired facial image and all
registered facial templates is greater than the set value.
The valid value ranges from 0 to 100. The higher the thresholds, the lower the
misjudgement rate and the higher the rejection rate, and vice versa. It is
recommended to set the default value of 90.
FRR
FAR
Recommended Matching Thresholds
1:N
1:1
High
Low
85
80
Medium
Medium
82
75
Low
High
80
70
