Face database is a part of Persons database, which includes people and their anthropometric data. Face database is used for comparison with faces that Face Tracker/Recognizer module detects on camera image.
Important
The size is displayed in the Face database size field in the Settings -> Face Recognition window and is determined by the licence for TRASSIR.
Tip
For a detailed description of the person creation process, see Persons section.
Important
TRASSIR can use a unified or central face database. For this purpose, a number of requirements should be met:
- All face detecting servers and the server, containing the central face database, should have the relevant licenses.
- You should select the server, containing the central face database from the Face recognizer setup in the Location list.
- Face detecting servers should connect to the central face database server regularly to synchronize the data. In order to reduce the network load, a special script can be used. To receive the script and its description, please, contact technical support.
Recommendations to the photos used for recognition
![](setup-face-d-b-2.png)
TRASSIR uses all photos in the Face database for recognition. The probability of recognizing a person caught in a camera depends on the quality of the photos loaded to the TRASSIR. To increase the probability of recognition, use the following guidelines:
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You can upload several photos for one person, one of which must be taken in full-face, and the rest are allowed to rotate no more than 30 degrees vertically or horizontally.
Photos in which the person is depicted half-face, will significantly reduce the probability of this person recognition.
- If a person wears glasses, then upload a photo with glasses to improve recognition.
- Photos on which a person's face is blurry, lighted or in shadow will significantly reduce the probability of recognition.
- The face on the photos should not be smaller than 128x128px.
Examples of photos that improve the quality of recognition
Examples of photos that reduce the quality of recognition