Facial Recognition

Powered by in-house-developed technology, our facial recognition solution delivers unmatched accuracy, speed, and fairness, proven in real-world environments.

Industry leaders trust Incode with their AI fraud prevention

How it works

Precision in every pixel

Our facial recognition technology uses advanced machine learning (ML) models to compare images with ID photos or previously captured pictures. This ensures accurate verification and fortifies fraud prevention, maintaining a seamless user experience.

Face detection

Feature extraction

Vector conversion

Encryption for security

Comparison for verification

Face detection

Identifies, isolates, and analyzes unique facial features from an image or video for subsequent analysis, often within milliseconds.

Feature extraction

Analyzes and identifies unique features, facial patterns, and characteristics, ensuring accurate recognition, no matter the expression or lighting.

Vector conversion

Converts extracted features into a numeric representation of the facial biometrics. This becomes a unique “facial signature.”

Encryption for security

Securely encrypts the vector into a format that can only be opened and interpreted with the correct decryption key.

Comparison for verification

Compares face templates extracted from a selfie or an ID image against another template (1:1) or against a database of templates (1:N).

Our technology

The gold standard for facial recognition

Our pioneering technology is powered by globally inclusive and diverse training data, resulting in high recognition accuracy regardless of ethnicities, age, gender, or environmental conditions.

Demographic fairness

Unbiased performance
across demographics.

Environmental adaptability

Reliable results in any condition or environment.

Accuracy at scale

Exceptionally low (0.01%) occurrence
of false matches.

High efficiency

Facial matching completed
in 20 milliseconds.

Data integrity

Trained on millions of proprietary,
compliant images.

Unlock the power of facial recognition today

Achieve fast and frictionless verification with outstanding accuracy.

Premium performance

Trusted security, proven accuracy

Incode’s facial recognition models are NIST-certified and top ranked in FRTE benchmarks for 1:1 verification and 1:N identification, tested on millions of images for accuracy and fraud detection.

ISO (30107-3)

Certified against biometric spoofing and presentation attacks

100%

success rate in spotting and blocking
fraudulent selfies

99.9%

success rate in identifying and passing
genuine selfies

Verifications processed in 20 milliseconds

20 ms

Recognized as a top remote identity validation provider by the Department of Homeland Security

Really good technology, probably the best ML models on the market.

Trusted by the world’s leading companies

Enterprise-grade security and compliance

1:1 v 1:N

Face recognition use-cases

1:1 verification

What it is: A selfie is compared to a single reference photo (e.g., from a government-issued ID) to confirm that both belong to the same person.

How it might be used: When a user opens a new bank account online, Incode compares their selfie to the photo on their government-issued ID. This proves ownership of the ID by the user, preventing impersonation and meeting compliance requirements.

1:N identification

What it is: A single face image is compared against a database of many enrolled profiles to find a match or confirm that no match exists.

How it might be used: A financial institution checks a new customer’s selfie against its database of existing clients to ensure the person is not already enrolled under another identity. This prevents duplicate accounts, fraud, and compliance violations.