Page History

The metadata of the video stream is recorded to the database by default. To disable the parameter, select the No value

If the camera supports multistreaming, select the stream for which detection is needed. For the correct operation of the Face

detector VA, we recommend using a high-quality video stream

Decoder mode

Select a

processor for decoding video

. When you select

:

• Auto: GPU takes priority (

• decoding with

• Nvidia NVDEC chips). If there is no appropriate GPU, the decoding will use the Intel Quick Sync Video technology. Otherwise, CPU resources will be used for decoding;
• CPU: CPU is used for decoding;
• GPU: GPU is used for decoding (decoding with Nvidia NVDEC chips);
• HuaweiNPU: HuaweiNPU is used for decoding

The Liveness detection

 parameter is disabled by default. Liveness detection is used when there is a photo of a face instead of an alive person. If you want to save to the database the information about

whether each captured face is a photo (Yes/No), select the Yes

 value

Specify the threshold value in percent at which a face is defined

as liveless. The higher the value, the fewer captured faces are detected as a photo. At the same time, the quality of recognizing whether the captured face is a photo (Yes/No) is higher. You must select the required value empirically. The value must be in the range [1, 100]

Name of the

detector type (non-editable field)

Select the face detection algorithm

:

• ALG1 (high speed, low accuracy) is the fastest, reduced accuracy. Recognition speed depends on the number of faces in the frame. Optimal for many scenes.
• ALG2 (medium speed, medium accuracy)—recognition speed depends on the background and the number of faces in the frame.
• ALG3 (low speed, high accuracy) is the most accurate, reduced speed. Recognition speed depends on the image resolution

Specify the time in milliseconds between face search operations in a frame. The larger the value, the less load on the Server, but some faces may not be recognized. The value must be in the range [1, 10 000]

Face rotation pitch ( ° )

Specify the allowable angle of face pitch

in degrees. You must select the required value empirically. The value must be in the range [0, 90]

Specify the allowable angle of face roll

in degrees. You must select the required value empirically. The value must be in the range [0, 90]

Face rotation yaw from ( ° )

Specify the minimum allowable angle of face rotation to the right or left. You must select the required value empirically. The value must be in the range [-90, 90]

Face rotation yaw to ( ° )

Specify the maximum allowable angle of face rotation to the right or left. You must select the required value empirically. The value must be in the range [-90, 90]

False mask detections filtering

The False mask detections filtering parameter is enabled by default. Additional algorithm considers that the track is a face of a person with a mask. If algorithm considers that the track is a face with a mask with a lower probability, this track is disregarded (see the Minimum filtering threshold for face mask detection parameter). If you don’t need to use the parameter, select

the No value

In some cases, the

detector can mistake other objects for a face. The Filter false alarms parameter is enabled by default. If the parameter is enabled,

false results of the face recognition

appear in the detection feed (see Face recognition and search), but they

are ignored when searching for faces in the archive. This parameter filters out objects that are not faces at the stage of face vector construction and its recording to the metadata database. If you don’t need to use this parameter, select the No value

The Ignore repeated recognitions parameter is disabled by default. If you want to ignore repeated recognitions of the same face, select the Yes value

Specify the minimum quality of the face image when recognizing masks (

see Mask detector VA). You must select the

required value empirically. We recommend specifying the value of not less than 30. The value must be in the range [1, 100]

Specify the minimum quality of the face image when recognizing faces without masks. You must select the

required value empirically. We recommend specifying the value of not less than 50. The value must be in the range [1, 100]

If you enable the Filter false alarms parameter, specify the minimum percentage at which the additional algorithm considers the track to be a person's face. If the algorithm considers the track to be a face with a lower probability, this track

is disregarded. You must select the

required value empirically. We recommend specifying the value of not less than 50. The value must be in the range [1, 100]

If you enable the False mask detections filtering parameter, specify the minimum percentage at which the additional algorithm considers the track to be a person's face with a mask. If the algorithm considers the track to be a face with a mask with a lower probability, this track

is disregarded. You must select the

required value empirically. We recommend specifying the value of not less than 30. The value must be in the range [1, 100]

Period of ignoring repeated recognitions

To adjust this parameter, you must enable the Ignore repeated recognitions parameter. Specify the period in minutes during which new recognized faces

are compared with the previous ones to detect similarities. The value must be in the range [2, 30]

A black and white frame is processed by default. If you want the

detector to use a color frame for processing, select the Yes value

Repeated recognitions similarity threshold

To adjust this parameter, you must enable the Ignore repeated recognitions parameter. Specify the similarity threshold of the face to the previously recognized faces in percent. If the similarity threshold is lower than the specified value, the face

is recognized as a new one. The value must be in the range [1, 100]

The Send face images parameter is disabled by default. If you want to send face images to Axxon PSIM, select the Yes value

Specify the time in milliseconds after which the track of the captured face is considered to be lost. This parameter applies when a captured face moves in the frame and gets hidden behind an obstacle for some time. If this time is less than the specified value, the face

is recognized as the same. The value must be in the range [1, 10 000]

The Biometric data parameter is

disabled by default. When

you search for faces (

see Face search) by an attached photo or

track, as well as when you check in lists of faces, there will be no results

If you want to keep biometric data, select the Yes value. In this case, when you search for faces (see Face search),

the search results will contain faces that are similar to the attached photo or track based on a specified minimum similarity level (percentage). For the correct check in lists of faces, this parameter must also be enabled

The Not selected value is selected by default. If necessary, select the algorithm of the face attributes recognition βeta:

• Algorithm 1 (Fast recognition) is used for fast recognition and assessment.
• Algorithm 2 (Accurate recognition) is used for a more accurate recognition and assessment

The Face mask detection parameter is disabled by default. If you use mask

detector, select

the Yes value (

see Mask detector VA)

Maximum face height

Specify the maximum height of the captured faces as a percentage of the frame size. You must select the required value empirically. The value must be in the range [1, 100]

Specify the maximum width of the captured faces as a percentage of the frame size. You must select the required value empirically. The value must be in the range [1, 100]

Minimum face width

Specify the minimum width of the captured faces as a percentage of the frame size. You must select the required value empirically. The value must be in the range [1, 100]

Specify the minimum level of face recognition accuracy for the creation of a track. You must select the

required value empirically. We recommend specifying the value of not less than 90.

 The higher the value, the fewer faces are detected, while the recognition accuracy increases. The value must be in the range [1, 100]