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Hardware requirements for the Face detector TV and its sub-detectors

Hardware requirements for neural analytics operation

Video stream and scene requirements for the Face detector TV and its sub-detectors

Image requirements for the Face detector TV and its sub-detectors

Optimizing the operation of the Face detector TV on GPU in Windows OS

Checking in lists of faces

Examples of macros used when working with lists of faces

Note
titleAttention!

To configure the Face detector TV, do the following:

  1. Go to the Detectors tab.

  2. Below the required camera, click Create… → Category: Face → Face detector TV.

By default, the detector is enabled and set to detect faces.

If necessary, you can change the detector parameters. The list of parameters is given in the table:

ParameterValueDescription
Note
titleAttention!

To configure the Face detection, do the following:

  1. Go to the Detection Tools tab.

  2. Below the required camera, click Create… → Category: Face → Face detection.

By default, the detection tool is enabled and set to detect faces.

If necessary, you can change the detection tool parameters. The list of parameters is given in the table:

ParameterValueDescription
Object features
Check in listsYesThe
Check in lists
parameter is disabled by default. If you
don’t
want to use this
detection tool for real-time face recognition (
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 trackingYesThe metadata of the video stream is recorded to the database by default. To disable the parameter, select the No value
No
Video streamMain 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

stream

Other
EnableYesThe
detection tool
detector is enabled by default. To disable the
detection tool
detector, select
the 
the No value
No
NameFace
detection
detector TVEnter the
detection tool
detector name or leave the default name
Decoder modeAuto

Select a

processing resource

processor for decoding video

streams

. When you select

a GPU, a stand-alone graphics card

:

  • Auto: GPU takes priority (
when
  • decoding with
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 Liveness detection
  • 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
CPU
GPU
HuaweiNPU
TypeFace detector TV

Name of the detector type (non-editable field)

Use camera transform

YesThe
Liveness detection parameter
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 valueNoLiveness threshold30

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]

TypeFace detection

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

Use camera transformYesThe Use camera transform parameter is disabled by default. If you use a XingYun bispherical lens (see Configuring fisheye cameras), by default the detection tool 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, select the Yes value. This parameter is also valid for other transformationsNo

Advanced settings

Note
titleAttention!

Advanced configuration of the detection tool must be performed only with the assistance of AxxonSoft technical experts.

Analyze face rotation angleYesThe Analyze face rotation angle parameter is disabled by default. If you want to detect the face rotation angle, select 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) 
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
No

Advanced settings

Note
titleAttention!

You must perform the advanced configuration of the detector only with the assistance of AxxonSoft technical experts.

Analyze face rotation angleYes

The parameter is disabled by default. If you want to detect the face rotation angle, select 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
titleNote

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 (
medium
  • high speed,
medium ALG3 (low speed, high accuracy)Face
  • 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

Server

server, but some faces may not be recognized. The value must be in the range [1, 10 000]

Face
rotation pitch ( ° )
occlusion threshold 
(starting with Detector Pack 3.14)		0
45

Specify the

allowable face pitch angle in degrees. The value must be in the range [0, 90]Face rotation roll ( ° )45

Specify the allowable face roll angle in degrees. The value must be in the range [0, 90]

Face rotation yaw from ( ° )

-45

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 ( ° )

45Specify the allowable angle of face pitch in degrees. You must select the required value empirically
Specify the minimum allowable angle of face rotation to the right or left
. The value must be in the range [
-90
0, 90]
Face rotation
yaw to
roll ( ° )45

Specify the

maximum

allowable angle of face

rotation to the right or leftThe

roll 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]

False mask detections filtering

Yes

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 filteringYesThe parameter is enabled by default.
If you don’t need to
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
the No
value
 value
No
Filter false alarmsYesIn 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
see Face recognition and search), but they
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 change1920
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
titleNote

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 Ignore repeated recognitions parameter is

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 recognitionsYes
The
The parameter is disabled by default. If you want to ignore repeated recognitions of the same face, select the Yes value
No
Minimum face masking
Liveness threshold
70
30

Specify the minimum threshold

for recognizing the mask on the face

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

relevant

required value empirically. The value must be in the range [1, 100]

Minimum face masking threshold70Specify the minimum threshold for recognizing a mask on the face. You must select the 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 detection30

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

see Configuring Masks Detection

see Mask detector TV). 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]

Minimum face recognition quality50

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 threshold50

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 detection30
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]

Period of ignoring repeated recognitions

2Specify the period in minutes during which new recognized faces will be compared with the previous ones to detect similarities. To adjust this parameter, you must enable the Ignore repeated recognitions parameter

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 [

2

0,

30]Process color frames

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

Process color frames
YesA 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 imagesYes
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
loss time500
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 time500

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 genderYes
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
titleNote

The average error in age recognition is 5 years.

No
Biometric dataYes

The Biometric data parameter is enabled by default. When searching for faces (see Face search), the search results will contain only found faces with an attached photo or a track. If you want to keep the biometric data confidential, select the No value. 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. When searching for a similar face (see Search for similar face), there will be no results

NoFace mask detectionYes

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

No

Maximum face height

100

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

Maximum face width100

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 height5
Algorithm of liveness detectionNot selected
Note
titleAttention!

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:

  1. The Liveness threshold parameter = 30.
  2. In the logs, the algorithm assigned a Liveness score = 78.
  3. 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 dataYes

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

No
Detection mode
CPU

Select a processor for the detector operation—CPU or Nvidia GPU (see Selecting Nvidia GPU when configuring detectors)

Note
titleAttention!

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 mask detectionYesThe parameter is disabled by default. If you use mask detector, select the Yes value (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 width100

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 height5Specify 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 authenticity90

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

Specify the minimum height of the captured faces as a percentage of the frame size

. 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. The value must be in the range [1, 100]

Minimum threshold of face authenticity90

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]

ModeCPU

Select the processor for the detection tool operation—CPU or NVIDIA GPU (see General information on configuring detection)

Note
titleAttention!

It may take several minutes to launch the algorithm on NVIDIA GPU after you apply the settings.

Nvidia GPU 0Nvidia GPU 1Nvidia GPU 2Nvidia GPU 3Huawei NPU

If necessary, 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 Image Removed.

Image Removed

Info
titleNote

For convenience of configuration, you can "freeze" the frame. Click the Image Removed button. To cancel the action, click this button again.

The detection area is displayed by default. To hide it, click the Image Removed button. To cancel the action, click this button again.

...

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 Image Added.

Image Added

Info
titleNote
  • For convenience of configuration, you can "freeze" the frame. Click the Image Added button. To cancel the action, click this button again.
  • The detection area is displayed by default. To hide it, click the Image Added button. To cancel the action, click this button again.

To save the parameters of the detector, click the Apply Image Added button. To cancel the changes, click the Cancel Image Added 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):

  1. 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.
  2. Entrance in area—detector generates an event when a person appears in the specified area of the frame and their face is detected.
  3. 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.
  4. Mask detector TV—detector generates an event when it captures a face with or without a mask.