G4[QR]
User Manual
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Fingerprint
Parameters
1:1 Threshold
Value
When conducting 1:1 fingerprint verification, fingerprint data is
collected and instantly compared with fingerprint data using a
1:1 algorithm.
This is converted into a value that is then compared to a set
value. If the value of the scanned fingerprint exceeds that of the
set value, the verification passes. If it does not, the verification
fails.
The higher the threshold, the more accurate the matching; the
lower the threshold, the higher the matching success rate.
1: N Threshold
Value
When conducting 1: N verification, fingerprint data is collected
and instantly compared with all fingerprint templates on the
system using a 1: N algorithm.
This is converted into a value that is compared to a set value. If
the value of the scanned fingerprint exceeds that of the set
value, the verification has passes. If it does not, the verification
fails.
The higher the threshold, the more accurate the matching; the
lower the threshold, the higher the matching success rate.
1:1 Repeat
Times
The upper limit of the number of failed verifications under 1:1
verification.
When the number of failed verifications reaches the set value,
the system will return to the standby interface.
Facial
Parameters
1:1 Matching
Threshold
When conducting 1:1 face verification, face data is collected
and instantly compared with face data using a 1:1 algorithm.
This is converted into a value that is then compared to a set
value. If the value of the scanned face exceeds that of the set
value, the verification passes. If it does not, the verification fails.
The higher the threshold, the more accurate the matching; the
lower the threshold, the higher the matching success rate.
1: N Matching
Threshold
When conducting 1: N verification, face data is collected and
instantly compared with all face templates on the system using
a 1: N algorithm.
This is converted into a value that is compared to a set value. If
the value of the scanned face exceeds that of the set value, the
verification has passes. If it does not, the verification fails.
The higher the threshold, the more accurate the matching; the
lower the threshold, the higher the matching success rate.
Enrollment
Threshold
Value
In face recognition, the higher the threshold is set, the higher
the accuracy of face recognition will be, which may lead to
unrecognizable.
On the contrary, if the threshold is too low, the accuracy of face
recognition will be lower, which may lead to misjudgement and
other phenomena. The default value is 76.
Other
Parameters
Ambient Light
(Fill Light)
Threshold
It is used for detecting ambient light brightness.
When the brightness of the surrounding environment is less
than the threshold, the complementary light is turned on; when
the brightness is greater than the threshold, the
complementary light is not turned on.
The default value is 80.