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- Go to settings panel of the Face detection object.
- Specify how many fps from the video stream are processed by the Face detection program module. This parameter is necessary for reducing the load on the Server (1).
- Specify the size of the captured face in percent relatively to the sizes of camera’s video surveillance window if the captured face is required to be dynamically framed (2).
- If the color of a dynamic frame needs be changed, left-click the Color field (3). Select the required color in the standard Color dialog box and click OK.
Set the face search area border on the video image by specifying the required values in percent in the corresponding fields (1), or by clicking the button (2) and using the interactive interface.
Info title Attention! Setting the face search area border is avaiable only if the Tevian face recognition module is used.
After you click the button, the window with the corresponding video camera image will open.
To set the face search area border, click the Stop video button at the required time, select the required area using the left mouse button, and then click OK.
The specified face search area border values will be automatically entered in the Left, Right, Upper and Lower fields of the Search area border % groupBy default the Face detection tool processes a video with the resolution set for the Camera parent object. To process a video with 320x240 pixels resolution, set the Process video in low resolution checkbox (5).
Info title Note. Enabling this option reduces the load of the Server’s processor, but the probability of face capture also reduces.
Estimate the part of captured faces while processing the video with 320x240 pixels resolution. In case, when this value is not high enough, set the Process video in low resolution checkbox unchecked.Note title Attention! The Process video in low resolution setting is not relevant in case, when a high resolution is set for a Camera parent object. Also this settings is not in use if the Tevian module is applied for face capture.
There are several variations of the face detection operation depending on the setting of the external capture and Face Recognition Server (63):
- External capture is NOT selected and the detection is NOT added to any of the Face Recognition Server channels. In this case, only capturing and saving of photos of faces detected by Intellect software capturing is performed, and generation of vectors is not performed. This option is not for Face-Intellect.
- External capture is NOT selected but the detection is added to any of the the Face Recognition Server channels. In this case, capturing and saving of photos of faces detected by Intellect software capturing, generation of vectors and recording them to database are performed. This option does not allow face recognition (while search and visitor counting are available).
- External capture is selected but the detection is not NOT added to any of the Face Recognition Server channels. In this case, capturing and saving of photos of faces detected by Cognitec 8.8 or Tevian 1.8.1 capturing and generation of vectors are performed, but the vectors are not recorded to the database. This option is only suitable for use in scripts.
External capture is selected and the detection is added to any of the Face Recognition Server channels. In this case, capturing and saving of photos of faces detected by Cognitec 8.8 or Tevian 1.8.1 capturing, generation of vectors and recording them to the database are performed.
Note title Important! It is required to enable 64-bit modules if the Tevian module is used for external capture (see Administrator's Guide, the Configuring of using 64-bits modules section).
The external capture is recommended for uxseuse. From the External capture drop-down list select the Face Recognition Server with the help of which the face capturing with the subsequent generation of a vector (if the Create FIR in detection unit checkbox is set on the settings panel of the corresponding Face Recognition Server object – see Configuring the Face Recognition Server object) and saving of photos will be performed.
Info title Note. Proper configuring of the face recognition server selected as external capture is performed with the help of the Cfgedit.exe utility (detailed information about this utility see in the Cfgedit.exe utility for configuring the Cognitec face recognizer section).
- The maximum Maximum performance mode is enabled by default (74). This mode allows improving the quality of face capture and recognition by using all available processor cores and increasing the RAM consumption. When this mode is disabled, the memory consumption will decrease, but faces can be missed at capturing.
- To pixelate the part of video image in which the face was recognized, do the following:
- To enable the pixelating function, set the Pixelate area checkbox (85).
Set the Grain size cursor in position corresponding to the pixelation grain size in pixels (96).
Set approximate width of face on the video image in pixels;
In the From field enter minimally allowable width of face on the video image (10).
In the To field enter maximally allowable width of face on the video image (11).
- In the Frame rate, fps field (7), specify how many fps from the video stream are processed by the Face detection program module. This parameter is necessary for reducing the load on the Server.
- Specify the size of the captured face in percent relatively to the sizes of camera’s video surveillance window if the captured face is required to be dynamically framed (8).
- If the color of a dynamic frame needs be changed, left-click the Color field (9). Select the required color in the standard Color dialog box and click OK.
If it is necessary to convert the color video image to black and white image to generate the vectors by the black-and-white frames, then uncheck the Process color video checkbox (10).
Note title Important! Generation of vectors by black-and-white frames is supported by Tevian 2.3.0 face recognition module only. It reduces the CPU load, insignificantly affecting the face capture and recognition quality.
By default the Face detection tool processes a video with the resolution set for the Camera parent object. To process a video with 320x240 pixels resolution, set the Process video in low resolution checkbox (11).
Info title Note. Enabling this option reduces the load of the Server’s processor, but the probability of face capture also reduces.
Note title Attention! The Process video in low resolution setting is not relevant in case, when a high resolution is set for a Camera parent object. Also this settings is not in use if the Tevian module is applied for face capture.
Set the minimum and maximum width and height of the face on the video image in pixels in the corresponding fields of the Face size, pixels group (12).
Set approximate height of face on the video image in pixels;
In the From field enter minimally allowable height of face on the video image (12).
Note title Attention! Settings of the captured face width and height on the video image are irrelevant if the Tevian module is used for face capture.
Set the Face capture area’s scalingSet the Zoom slider to the position corresponding to the required scaling of a captured face in the frame for recording (1413). The current scale value is displayed in the field above the slider and ranges from 1 (only the captured face is recorded) to 5 (the whole frame is recorded).
Info title Note. This setting is relevant in case the Face Intellect system is installed. A frame with the captured face is recorded to the < Face-Intellect>\ Bmp\ person\ folder.
To save the changes click the Apply button (1514).
In the To field enter maximally allowable height of face on the video image (13).
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Faces will not be captured if the specified minimal sizes highly differ from actual sizes. |
For example |
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the |
detector will not capture big faces if it is configured for capturing small faces, and vice versa. |
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If all face sizes are set to 0, the Face Detection tool uses similar parameters set on the Face Recognition Server object settings panel (see |
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After adding the Face Recognition Server object (see Configuring the Face Recognition Server object), in the field (6) of the Face Recognition Server debug window (see Debug window interface) the video resolution and the video stream number will be displayed. |
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