Face Recognition Guidelines
Whenever a face is detected on an IP camera or Doorkeeper kiosk, it is analysed by the Nirovision AI to assess its quality and provide a verdict on whether it matches a
profile in the database.
The Nirovision AI has been designed designed and
tested to meet accuracy standards within a specific context, which involves two main variables:
- The quality of the images captured via IP cameras and Doorkeeper kiosks, so faces are detected as expected.
- The quality of profiles, so matches occur as expected.
To address the first variable, we work with every customer and integration partner to ensure that cameras and kiosks are optimally placed and configured to the best possible settings. We also leverage heuristics in the Nirovision server and Doorkeeper to address scene-specific requirements and obstacles - and to improve the user experience. This is a crucial component behind the success of deployments, but not the whole story.
2. Examples of high and low quality faces
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