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Version: 2.1.0 (latest)

Remote Identification



Remote selfie-based identification and authentication using the front camera of a mobile phone in banking systems, exchanges, municipal portals, etc. Top priority is to ensure accurate identification and prevent any errors.

Use Case Requirements

  • One face in the frame, minimal likelihood of side views
  • Images of faces are of significant size (up to 80% of the frame area)
  • High noise tolerance in photos due to poor lighting or low-quality cameras
  • Image type for detection and identification is "BORDER" or "MUGSHOT" (according to NIST), which corresponds to QAA totalscore >= 51%
  • remote_identification_q1.xml
  • remote_identification_q2.xml

How to Configure

1. Open the ./cfg/image-api.values.yaml file in Image API distribution, find the capturer configuration object (path to the object: name.configs.capturer) and enter the same values for the fields of the capturer object in each detection service: face-detector-face-fitter, face-detector-liveness-estimator, face -detector-template-extractor.


name: remote_identification_q1.xml // name of the Face SDK configuration file

2. After editing the file, save it and update Image API in the cluster using the command:

./ image-api install

Benchmark Results

Capturer configuration fileTime to detect one frame (ms)Detection accuracy (0 to 1)