The algorithm detects and crops the face bbox from the image or video frame.
2. Analysis
AI models evaluate quality metrics such as sharpness, blurriness, noise, and others.
3. Verdict
You can accept the image based on metric values or recapture it.
1. Capture
The algorithm detects and crops the face bbox from the image or video frame.
2. Analysis
AI models evaluate quality metrics such as sharpness, blurriness, noise, and others.
3. Verdict
You can accept the image based on metric values or recapture it.
Key Features
+40% Recognition Accuracy in One Check
Filter out just 5% of low-quality images from your biometric dataset to cut authentication failures and fraud risks.
Approved by NIST FATE Quality Ratings
Independently tested by NIST FATE program, confirming the algorithm’s accuracy, consistency, and compliance.
ICAO / ISO Compliance Checks
Check facial images against quality standards such as ISO/IEC 19794-5:2011 and the ICAO Guidelines for Passport Photos.
+40% Recognition Accuracy in One Check
Filter out just 5% of low-quality images from your biometric dataset to cut authentication failures and fraud risks.
Approved by NIST FATE Quality Ratings
Independently tested by NIST FATE program, confirming the algorithm’s accuracy, consistency, and compliance.
ICAO / ISO Compliance Checks
Check facial images against quality standards such as ISO/IEC 19794-5:2011 and the ICAO Guidelines for Passport Photos.
Why It Matters
For Higher Face Recognition Accuracy
Analyze each face with adjustable quality metrics—sharpness, lighting, noise, and more—so only top-quality images are used for recognition, reducing false matches and speeding up verification.
For ICAO / ISO Photo Compliance
Ensure facial images comply with ISO/IEC 19794-5:2011 and ICAO Guidelines for Passport Photographs based on a normalized total quality score (0–1).