Go to documentation repository

Page tree

Documentation for Face Intellect 7.1. Documentation for other versions of Intellect is available too.

Previous page Appendix 1. Interfaces  Settings panel for the Face Recognition Server Next page


Skip to end of metadata
Go to start of metadata

The following figure shows the settings panel for the Face Detection object.


The following table provides descriptions of the parameters for configuring the Face Detection.

Parameter

Method for entering the parameter value

Parameter description

Symbols used

Default value

Value range

1

Number

Automatic

Identification number of the Face Detection object in the system

Sequence of numbers

-

Depends on the number of Face Detection objects in the system

2

Name

Enter the value into the field

Name of the Face Detection object in the system

Latin, Cyrillic and service characters

Face Detection

A line containing a sequence of any symbols (letters, digits, service characters), regardless of the register
Number of symbols – from 1 to 60.

3

Disable

Checkbox

Sets the status (on or off) of the Face Detection object in the system

Boolean type

No

Yes – the Face Detection object is disconnected and is not in use
No – the Face Detection object is connected and is in use.

4

Camera

Select the value from the list

Assigns the parent Camera object to a particular Face Detection object

Name of the Camera objects registered in the system

Name of parent camera

Depends on the number of Camera objects in the system

Settings Group

5

Frame rate, fps

Enter the value into the field

Enters the number of frames per second processed by the Face Detection module. This parameter is used to decrease the server load

Frames/sec

-

From 1 to the frequency of frames allocated for processing the video signal of each specific video camera

6

Face width

Face height

Enter the value into the fieldSets the approximate width and height of captured face on a video image in percentage of frame width and height.% frame width and height.4 to 801 to 100
7Process color videoCheckboxEnable/disable the convertion of the color video image to black and white image to generate the vectors by the black-and-white frames.Boolean typeYes

Yes – when adding faces to the reference faces database, vectors are generated by color images.

No – when adding faces to the reference faces database, vectors are generated by black-and-white images.

8Process video in low resolutionCheckboxActivates the option to have the Face Detection module process video images in the 320x240 pixel resolution.Boolean typeNoYes – video image is processed in the 320x240 pixel resolution
No – video image is processed in the resolution set by the parent Camera object

9

Frame color for a face size of more than, %

Enter the value into the field

Sets the captured face size at which the face requires a dynamic border

% of the video surveillance camera window area

-

From 1 to 100

10

Color

Double-click

Selects the color of the dynamic border (via the standard Windows dialog box)

-

-

-

Face Capture Area Scaling Group

11

Scale

Move slider bar to position

Sets the scale of the captured face image within the frame to be recorded

-

1.5

From 1 to 5
1 – only the face image is recorded
5 – entire frame is recorded

Face capture area pixelation Group

12

Pixelate area

Checkbox

Enables the pixelation function for the area of video image in which the face was recognized

Boolean type

No

Yes – face capture area is pixelated.
No – face capture area is not pixelated.

13

Grain size

Move slider bar to position

Sets the grain size of face capture area pixelation

Sequence of numbers

5

From 5 to 15

External capture group

14

External capture

Select the value from the list

Selects the Face recognition server object

Name of the Face recognition server objects registered in the system

No

Depends on the number of Face recognition server objects in the system

15Maximum performanceCheckboxEnables maximum performance modeBoolean typeYes

Yes – the maximum quality of face capture and recognition is provided by using all available processor cores and increasing the consumed RAM.

No – normal resources consumption, faces can be missed while capturing.