To configure the Face detectiondetector TV, do the following:
Go to the
Detectors tab.
- Below the required camera, click Create… → Category: Face → Face
detection - detector TV.
By default, the detection tool detector is enabled and set to detect faces.
If necessary, you can change the detection tool detector parameters. The list of parameters is given in the table:
| Parameter | Value | Description |
|---|
| Object features |
| Check in lists | Yes | The |
Check in lists | parameter is disabled by default. If you want to use this |
detection tool | detector to check in lists of faces, select the Yes value (see |
Configuring face recognition based on the created lists| Checking in lists of faces) |
| No |
| Record objects tracking | Yes | The metadata of the video stream is recorded to the database by default. To disable the parameter, select the No value |
| No |
| Video stream | Main stream | If the camera supports multistreaming, select the stream for which detection is needed. For the correct operation of the Face |
detection detector TV, we recommend using a high-quality video |
streamSecond detection tool | detector is enabled by default. To disable the |
detection tool the detection detection tool | detector name or leave the default name |
| Decoder mode | Auto | Select a |
processing resource processor for decoding video |
streams a GPU, a stand-alone graphics card : - Auto: GPU takes priority (
|
when NVIDIA - Nvidia NVDEC chips). If there is no appropriate GPU, the decoding
|
will use - uses the Intel Quick Sync Video technology. Otherwise, CPU resources
|
will be - are used for decoding;
- CPU: CPU is used for decoding;
|
| GPU |
| HuaweiNPU |
| Liveness detection | Yes | 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 |
| No |
| Liveness threshold | 30 | Specify the threshold value in percent at which a face is defined as "not alive". The higher the value, the fewer captured faces will be detected as a photo. At the same time, the quality of recognizing whether the captured face is a photo (Yes/No) will be higher. You must select the relevant value empirically. The value must be in the range [1, 100] |
Type | Face detection TV | Name of the detection tool - GPU: GPU is used for decoding (decoding with Nvidia NVDEC chips);
- HuaweiNPU: HuaweiNPU is used for decoding
|
| CPU |
| GPU |
| HuaweiNPU |
| Type | Face detector TV | Name of the detector type (non-editable field) |
Use camera transform
| Yes | The |
Use camera transform | parameter is disabled by default. If you use a XingYun bispherical lens ( |
see detection tool | 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 |
detection tool| detector, select the Yes value. This parameter is also valid for other transformations |
| No |
|
Advanced You must perform the advanced configuration of the |
|
detection tool must be performed detector only with the assistance of AxxonSoft technical experts. |
|
| Analyze face rotation angle | Yes | |
Analyze face rotation angle parameter is disabled by default. If you want to detect the face rotation angle, select |
the the Yes value. This parameter allows you to filter out results that have a rotation and tilt angle greater than the specified values in a search for a specific face (see Search for similar face)
| Info |
|---|
| The Analyze face rotation angle parameter affects the filtering of face detection events in the Event Board (see Configuring an Event Board, Working with Event Boards). When you use the following filters: - Triggered detection—all detected faces are displayed regardless of the face angle settings, even if the Analyze face rotation angle parameter is enabled.
- Triggered specified detection—only faces that are within allowable rotation angles specified in the settings of the detector are displayed.
|
|
| No |
| Face detection algorithm |
ALG1| ALG1 (high speed, low accuracy) | Select the face detection algorithm |
ALG2: - 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
|
| ALG2 |
| (medium speed, medium accuracy) |
| ALG3 (low speed, high accuracy) |
| Face detection period (msec) | 250 | Specify the time in milliseconds between face search operations in a video frame. The larger the value, the less load on the |
Serverserver, but some faces may not be recognized. The value must be in the range [1, 10 000] |
Face occlusion threshold
(starting with Detector Pack 3.14) | 0 | 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 ( ° ) | 45 | Specify the allowable angle of face pitch |
angle | in degrees. You must select the required value empirically. The value must be in the range [0, 90] |
| Face rotation roll ( ° ) | 45 | Specify the allowable angle of face roll |
angle in degrees. You must select the required value empirically. The value must be in the range [0, 90] |
Face rotation yaw from ( ° ) | -45 | 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 ( ° ) | 45 | 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 | Yes | The |
False mask detections filtering | parameter is enabled by default. The additional algorithm considers that the track is a face of a person with a mask. If the 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 value| value |
| No |
| Filter false alarms | Yes | In some cases, the |
detection tool may | detector can mistake other objects for a face. |
The | The Filter false alarms parameter is enabled by default. If the parameter is enabled, |
false | false results of the face recognition |
will | appear in the detection feed ( |
see will be | are ignored when searching for faces in the archive. This parameter filters out objects that |
are not | aren't 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 |
| No |
| Frame size change | 1920 |
The analyzed frames are scaled down to a By default, during the analysis, the frame is compressed to the specified resolution (1920 pixels on the longer side |
) , by default). The value must be in the range [640, 10 000]. The following algorithm is used: - If the longer side of the source image exceeds the value specified in the Frame size change field, it is divided by two.
- If the resulting resolution falls below the specified value, the algorithm stops, and this resolution
|
will be - is used further.
- If the resulting resolution still exceeds the specified value, it is divided by two until it is less than the specified resolution
|
.| Info |
|---|
| For example, the source image resolution is 2048*1536, and the specified value is set to 1000. In this case, the source resolution |
|
will be is halved two times (512*384), |
|
as since after the first division, the number of pixels on the longer side exceeds the specified value (1024 > 1000). If detection is performed on a higher resolution stream and detection errors occur, we recommend reducing the compression. |
|
| Ignore repeated recognitions | Yes |
The Ignore repeated recognitions parameter | The parameter is disabled by default. If you want to ignore repeated recognitions of the same face, select the Yes value |
| No |
Liveness threshold
| 30 | 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] |
| Minimum face masking threshold | 70 | Specify the minimum threshold for recognizing |
the | a mask on the face. You must select the |
relevant | required value empirically. We recommend specifying the value of not less than 70. The value must be in the range [1, 100] |
| Minimum face quality for face mask detection | 30 | Specify the minimum quality of the face image when recognizing masks ( |
see Configuring Masks Detection relevant required value empirically. We recommend specifying the value of not less than 30. The value must be in the range [1, 100] |
| Minimum face recognition quality | 50 | Specify the minimum quality of the face image when recognizing faces without masks. You must select the |
relevant required value empirically. We recommend specifying the value of not less than 50. The value must be in the range [1, 100] |
| Minimum filtering threshold | 50 | If you |
enable 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 |
will be is disregarded. You must select the |
relevant required value empirically. We recommend specifying the value of not less than 50. The value must be in the range [1, 100] |
| Minimum filtering threshold for face mask detection | 30 |
Specify 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 |
relevant required value empirically. We recommend specifying the value of not less than 30. The value must be in the range [1, 100] |
Open eyes threshold
(starting with Detector Pack 3.14) | 0 | 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 | 2 | To adjust this parameter, you must enable the Ignore repeated recognitions parameter. Specify the period in minutes during which new recognized faces |
will be are compared with the previous ones to detect similarities. |
To adjust this parameter, you must enable the Ignore repeated recognitions parameter. The The value must be in the range [2, 30] |
| Process color frames | Yes | A black and white frame is processed by default. If you want the |
detection tool | detector to use a color frame for processing, select the Yes value |
| No |
Repeated recognitions similarity threshold | 85 | 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 |
will be is recognized as a new one |
. To adjust this parameter, you must enable the Ignore repeated recognitions parameter. The value must be in the range [1, 100] |
| Send face images | Yes |
The Send face images parameter | The parameter is disabled by default. If you want to send face images to Axxon PSIM, select the Yes value |
| No |
| Track lifespan (starting with Detector Pack 3.14) | Yes | By default, the parameter is disabled. If it is necessary to display track lifespan for an object in seconds, select the Yes value |
| No |
| Track loss time | 500 | 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 hides behind an obstacle for some time. If this time is less than the specified value, the face |
will be is recognized as the same thing. The value must be in the range [1, 10 000] |
| Basic settings |
| Age and gender | Yes |
The Age and gender parameter The parameter is disabled by default. |
If you need to save age and gender information for each captured face in the database, select the Yes value |
.
| Info |
|---|
| The average error in age recognition is 5 years. |
|
| No |
| Algorithm of liveness detection | Not selected | | Note |
|---|
| The algorithm is sensitive to the position of the face in the frame and optic distortion. The algorithm operates correctly only when a face is located in the center of the frame where distortion is minimal. The lower the distortion in the frame, the higher the accuracy of the algorithm operation. |
The Not selected value is selected by default. Liveless face is a photo of a face instead of a live person. You can use a photo, mask, or video as an image. If necessary, select the algorithm for detecting a liveless face: - Algorithm 1 (Photo I) is used for processors with small processing power in access control systems (ACS). A simplified, fast box model is used to speed up processing.
- Algorithm 2 (Photo I, Textures I) is used for most other ACSs, including a combination of a fast box model and texture model.
- Algorithm 3 (Photo II, Textures II) is used for remote authorization scenarios. It uses a more detailed and slower box model with a slower texture model, which improves verification accuracy.
- Algorithm 4 (Comprehensive) is a mode for fine-tuning for specific conditions. We recommend using this mode if you can adjust the parameters to a specific domain and select threshold values. This approach increases accuracy, but the threshold can vary significantly depending on the conditions.
You must configure the parameter empirically. Algorithm for determining a liveless face: The algorithm assigns to each face a Liveness score—a value in the range [0, 100]. The decision on the liveness of a face is made based on the value specified in the Liveness threshold parameter according to the following logic: - liveless if a Liveness score is less than or equal to the threshold value of the parameter.
- live if a Liveness score exceeds the threshold value of the parameter.
Example: - The Liveness threshold parameter = 30.
- In the logs, the algorithm assigned a Liveness score = 78.
- Since 78 > 30, the face is determined as live
|
| Algorithm 1 (Photo I) |
| Algorithm 2 (Photo I, Textures I) |
| Algorithm 3 (Photo II, Textures II) |
| Algorithm 4 (Comprehensive) |
| Biometric data | Yes | The |
Biometric data parameter is enabled by default. When |
searching you search for faces (see Face search), the search results |
will contain display found faces that are similar to |
the a track based on track, taking into account the specified minimum level of similarity |
level percentage For the correct check in lists of faces, you must also enable this parameter.
If you want to keep the biometric data |
confidential the No When searching In this case, when you search for faces (see Face search) |
by using an attached photo or |
a track, there will be no resultstrack as well as check in lists of faces, the search doesn't return any result |
| No |
Detection mode
| CPU | Select a processor for the detector operation—CPU or Nvidia GPU (see Selecting Nvidia GPU when configuring detectors)
| Note |
|---|
| It can take several minutes to launch the algorithm on an Nvidia GPU after you apply the settings. |
|
| Nvidia GPU 0 |
| Nvidia GPU 1 |
| Nvidia GPU 2 |
| Nvidia GPU 3 |
| Huawei NPU |
Face attributes recognition βeta
| Not selected | The Not selected value is selected by default. If necessary, select the βeta face attributes recognition algorithm: - Algorithm 1 (Fast recognition) is used for fast recognition and assessment.
- Algorithm 2 (Accurate recognition) is used for a more accurate recognition and assessment
|
| Algorithm 1 (Fast recognition) |
| Algorithm 2 (Accurate recognition) |
| Face |
| No |
Face Face mask detection | parameter is disabled by default. If you use mask |
detection| detector, select the Yes value ( |
see Configuring Masks Detection| see Mask detector TV) |
| No |
Maximum face height | 100 | 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] |
| Maximum face width | 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 height | 5 | Specify the minimum 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] |
Minimum face width | 5 | 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] |
| Minimum threshold of face authenticity | 90 | Specify the minimum level of face recognition accuracy for the creation of a track. You must select the |
relevant 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] |
Mode | CPU | Select the processor for the detection tool operation—CPU or NVIDIA GPU (see General information on configuring detection)
| Note |
|---|
|
It may take several minutes to launch the algorithm on NVIDIA GPU after you apply the settings. |
| Nvidia GPU 0 |
| Nvidia GPU 1 |
| Nvidia GPU 2 |
| Nvidia GPU 3 |
| Huawei NPU |
If necessary, in In the preview window, set the rectangular area of the frame , in which you want to detect faces. You can specify the area by moving the anchor points points 
Image Modified.
Image Modified
| Info |
|---|
|
- For convenience of configuration, you can "freeze" the frame. Click
the - the
 Image Modified
button- button. To cancel the action, click this button again.
- The detection area is displayed by default. To hide it, click
the - the
 Image Modified
button- button. To cancel the action, click this button again.
|
To save the parameters of the detection tooldetector, click the Apply 
Image Modified button. To To cancel the changes, click the Cancel 
Image Modified button.
Configuration of the Face detector TV is complete. If necessary, you can create and configure sub-detectors on the basis of the Face detector TV based on metadata (see Metadata database):
- Line crossing—detector generates an event when a person moves across a line in the specified area of the frame and their face is detected.
- Entrance in area—detector generates an event when a person appears in the specified area of the frame and their face is detected.
- Loitering in area—detector generates an event when a person stays in the specified area of the frame for a long time and their face is detected.
- Mask detector TV—detector generates an event when it captures a face with or without a mask.
