Face Age Estimation
In-house technology delivering highly accurate, unbiased across demographics, and privacy-preserving age assurance.
Top global companies choose Incode for proven fraud protection that drives growth
How it works
Precision, Privacy, and Security in every check
Our face age estimation technology applies advanced AI models to analyze facial features and predict age ranges with high accuracy. It safeguards privacy, prevents spoofing, and supports compliance while keeping the user experience seamless.
Face scanning
Face is detected on-device, then a privacy-safe facial map is created without identifying who the person is.
Age analysis
The model analyzes age-related facial features like skin texture and landmarks to estimate an age range, not a precise identity.
Deepfake defense
Liveness and deepfake checks verify a real, present person, blocking replays, screen attacks, and AI‑generated faces.
Instant compliant results
Results return instantly as an age estimate and pass/fail against region/industry-specific policy thresholds, optimized for low latency.
Data minimization & regional processing
Data minimization by design, no face templates are stored by default, and processing can run on-device or regionally to meet compliance needs.
Our technology
The gold standard for Age Estimation
Trained on millions of diverse, compliant images, our technology achieves 99.8% benchmark accuracy with no demographic bias, high group-specific precision, and milliseconds speed.
Demographic fairness
No significant bias across age, skin tone, ethnicity, and gender.
Top performance
>99.8% TPR demonstrated on the 21–25 years old benchmark challenge.
High accuracy for interest groups
Mean average error of 0.95 for 13-17 and 1.8 for 18-24 groups.
High speed
Age estimation completed in 20 milliseconds.
Data integrity
Trained on millions of proprietary, compliant images across all demographics.
Unlock the power of Age Estimation today
Achieve fast and frictionless age assurance with outstanding accuracy.
Cross-industry appliance
Face Age Estimation use-cases
Age assurance
What it is: the process of determining a user’s age or confirming whether they fall above or below a required threshold. It helps ensure compliance, protect minors, and enable age-appropriate access.
How it is used:
Age Gating: ensures users meet legal age requirements before accessing products or services.
Age Segmentation: groups users into age brackets to deliver tailored experiences.
Age discrepancy
What it is: the process of identifying mismatches between a user’s estimated age from a selfie or face scan and the date of birth shown on their identity document.
How it is used: to detect tampered or forged identity documents, expose synthetic identities created from stolen data, and flag fraudsters whose claimed age on an ID does not align with their real facial appearance. This strengthens defenses against identity theft and large-scale fraud attempts.
Age assurance
What it is: the process of determining a user’s age or confirming whether they fall above or below a required threshold. It helps ensure compliance, protect minors, and enable age-appropriate access.
How it is used:
Age Gating: ensures users meet legal age requirements before accessing products or services.
Age Segmentation: groups users into age brackets to deliver tailored experiences.
Age discrepancy
What it is: the process of identifying mismatches between a user’s estimated age from a selfie or face scan and the date of birth shown on their identity document.
How it is used: to detect tampered or forged identity documents, expose synthetic identities created from stolen data, and flag fraudsters whose claimed age on an ID does not align with their real facial appearance. This strengthens defenses against identity theft and large-scale fraud attempts.
Premium performance
Trusted security, proven accuracy
Incode’s age estimation models are NIST-certified and top ranked in MAE benchmarks across all age groups and demographics, tested on millions of images for accuracy.
BIS PAS 1296 (OAC)
certification for Age Estimation, validating performance and compliance with global standards.
100%
success rate in spotting and blocking
deepfakes and injections during face capture.
ISO (30107-3) Certified against biometric spoofing and presentation attacks.
Verifications processed in 20 milliseconds
20 ms
Recognized as top age estimation solution by Liminal and best ranked by clients through G2.
Trusted by the world’s leading companies
Enterprise-grade security and compliance
Resources
Latest insights on face age estimation from Incode
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