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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 VL, 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

• useы 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)

The parameter is disabled by default. If you use a XingYun bispherical lens (see Configuring fisheye cameras), by default the detector receives the image of two spheres of 180° each to analyze. In this case, the recognition quality can deteriorate. To send the dewarped image to the detector, select the Yes value. This parameter is also valid for other transformations

Select the face recognition algorithm:

• Algorithm 1—the recognition speed depends on the background and the number of faces in the frame. Works slower than Algorithm 3.
• Algorithm 2—high speed, low accuracy. The recognition speed depends on the number of faces in the frame.
• Algorithm 3—medium speed, high accuracy. The recognition speed depends on the resolution of the image. Optimal for most scenes

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]

Frame size change

Minimum image quality

Specify the minimum image quality for face detection. You must select the required value empirically. The value must be in the range [1, 100]

Minimum number of detections

Specify the minimum number of detections after which a track is considered a detected face. You must select the required value empirically. The value must be in the range [1, 10 000]

Number of frames between detections

Number of frames without detections

Send face images

The

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

Track

lifespan (starting with Detector Pack 3.14)

By default, the parameter is disabled. If it is necessary to display track lifespan for an object in seconds, select the Yes value

Track retention time (sec)

Specify the

minimum track's lifetime in seconds. After the specified time, the face detection result appears. If a track ends earlier, the result also appears. The value must be in the range [1,

60]

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

The

parameter is disabled by default. If you use mask

detector, select the Yes value (

see Mask detector VL)

Specify the minimum size 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]