User's Manual

RevFace15[TI] User Manual
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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 ot
her one would be turned on
simultaneously.
When the option is turned on or off, the device reboots automatically to
execute the function.
Image 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 l
ighting 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 75.
1:1 Threshold Value:
Under 1:1 verification mode, the verification will only
be successful when the similarity between the acquired facial image and the
user’s facial templates enrolled in the device 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 63.