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

detector TV, we recommend using a high-quality video

stream

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 uses the Intel Quick Sync Video technology. Otherwise, CPU resources are 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

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 video 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]

Specify the

face occlusion threshold at which a face that is partially or fully overlapped by objects (for example, glasses, masks, hair, and so on) is ignored. By default, the parameter is disabled (the value is 0). At any value greater than 0, the parameter is considered enabled. Select the appropriate value empirically. The value must be in the range [0, 100]

Face rotation pitch ( ° )

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]

Specify the minimum threshold value in percent at which a face is defined as liveless. The higher the value, the more captured faces are detected as a photo. At the same time, the quality of recognizing (photo/real face) is higher. You must select the required value empirically. The value must be in

the range [1, 100]

Specify the minimum quality of the face image when recognizing masks (see Mask detector TV). 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 use 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 use 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 will be 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]

Specify the open eyes threshold at which a face is recognized. By default, the parameter is disabled (the value is 0). At any value greater than 0, the parameter is considered enabled. Select the appropriate value empirically. The value must be in the range [0, 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]

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]

By default, the parameter is disabled. If it is necessary to display track lifespan for an object in seconds, 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 hides behind an obstacle for some time. If this time is less than the specified value, the face is recognized as the same thing

. The value must be in the range [1,

10 000]

The parameter is enabled by default. When you search for faces (see Face search), the search results display found faces that are similar to an attached photo or track, taking into account the specified minimum level of similarity (in percent). For the correct check in lists of faces, you must also enable this parameter.
If you want to keep the biometric data private, select the No value. In this case, when you search for faces (see Face search) using an attached photo or track as well as check in lists of faces, the search doesn't return any result

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]