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 detection, we recommend using a high-quality video stream

Decode key frames

Decoder mode

Select a processing resource for decoding video streams. When you select a GPU, a stand-alone graphics card takes priority (when 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

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 the "liveness" of a face for each captured face, select the Yes value

Specify the threshold value in percent at which a face is defined as "not alive". The value must be in the range [1, 100]

Name of the detection tool type (non-editable field)

Select the face detection algorithm

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 face roll angle in degrees. 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. 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. The value must be in the range [-90, 90]

False mask detections filtering

The False mask detections filtering parameter is enabled by default. If you don’t need to use the parameter, select the No value

In some cases, the detection tool may 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 will appear in the detection feed (see Face recognition and search), but they will be 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 Configuring Masks Detection). You must select the relevant 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 relevant 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 will be disregarded. You must select the relevant value empirically. We recommend specifying the value of not less than 50. The value must be in the range [1, 100]

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 relevant 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

Specify the period in minutes during which new recognized faces will be 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 detection tool to use a color frame for processing, select the Yes value

Repeated recognitions similarity threshold

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

The Biometric data parameter is enabled by default. When searching for faces (see Search for all recognized faces), the search results will contain only found faces without an attached photo or a track. If you search for a similar face (see Search for similar face), there will be no results. To get results with an attached photo or a track when searching for faces (see Face search), select the No value

The Face mask detection parameter is disabled by default. If you use mask detection, select the Yes value (see Configuring Masks Detection)

Maximum face height

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

Specify the maximum width of the captured faces as a percentage of the frame size. 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. 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 relevant 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]