Face Analytics Software
Go beyond identification. Analyze age, gender,
facial expressions, and complex emotions to
unlock a deeper understanding of your audience.
A face says a thousand words. ROC draws on advanced neural networks and deep-learning algorithms to help you read the most sophisticated nonverbal system in the body.
APPLICATIONS
AGE ESTIMATION
Snap. Verify. Go.
Age check users with remarkable
precision. No IDs, credit cards, or
personal details required. Simply
take a selfie to prove your age.
Age check users with remarkable
precision. No IDs, credit cards, or
personal details required. Simply take
a selfie to prove your age.
Top U.S. age estimation provider
as ranked by NIST.
Part of the ROC Identity Toolkit.
Face Recognition
#1 Global Provider in Combined Accuracy and Efficiency
Identify and verify your users. ROC helps leading brands prevent fraud with identity verification, global ID proofing, and liveness. Our American-made, globally trusted solutions combine speed and reliability with zero-knowledge proofs to optimize security, usability, and privacy.
Age Verification
Personalize Experiences and Ensure Compliance
As we journey through life, our faces change. ROC deep-learning AI analyzes the impact of time on every face, mapping the natural shifts in facial features, contours, and landmarks to accurately determine a person’s age. Ensure age-appropriate access to products and services, and compliance with evolving age-related regulations.
Gender Estimation
Enable Precise Gender Prediction
ROC high-fidelity algorithms leverage deep-learning AI to accurately predict gender by analyzing distinct facial features and comparing them with vast, ethically sourced datasets. Utilize gender estimation to effectively tailor your products, content, or advertisements to specific audiences.
Emotion Analysis
Unlock Powerful Insights into Human Behavior
Decode complex facial expressions across six universal emotions: happiness, sadness, anger, fear, surprise, and disgust. Includes facial post analysis for accurately assessing head orientation and positioning.
Accessories & Attire
Dress to Impress
Detect accessories and other wearables, including headwear, glasses, masks, and facial hair. Tap into the power of ROC object detection to enhance customer profiling and security protocols, and gain deeper insights into your audience.
Tattoo Matching
A New Standard in Tattoo Matching
Effortlessly identify individuals through their tattoos, even when other identifiers are unavailable. Battle-tested by agencies and operators, ROC tattoo matching enhances security and ABIS operations by ensuring swift, accurate identification.
Your Instant Smart
Security Layer
Fully multimodal video intelligence with 24/7 proactive AI monitoring, badgeless visitor management, and threat detection.
PRODUCTS
Your Instant Smart
Security Layer
Fully multimodal video intelligence with 24/7 proactive AI monitoring, badgeless visitor management, and threat detection.
Reimagine What’s Possible
Tap into the power of the all-in-one ROC SDK. Integrate game changing biometric and Vision AI capabilities with just a few lines of code.
The Future of ABIS
Supercharge your biometric identification with the agile, affordable, American-made ABIS.
Science-based biometrics. Forged with responsible AI.
ROC is precision engineered in America to an industry leading code of ethics and deployed with just a few lines of code.
Easy to integrate
Lightweight and fast
Open and interoperable
Powered by responsible AI
Build with ROC.
Schedule a free trial or demo.
FREQUENTLY ASKED QUESTIONS
What is face analytics software and what does it detect in real time?
ROC Face Analytics uses deep neural networks to analyze faces in real time from any standard RGB camera. The system detects and returns structured API data for:
- Age estimation - ROC is the #1 U.S. provider per NIST FATE
- Gender estimation
- Six universal emotions: happiness, sadness, anger, fear, surprise, disgust
- Accessories: glasses, sunglasses, face masks, headwear, facial hair
- Head pose - pitch, yaw, roll
- ICAO compliance checks for ID document enrollment
All attributes are returned as structured values - ready for dashboard integration, compliance reporting, or downstream AI workflows.
More: roc.ai/sdk
What is selfie-based age verification software and how does it work?
ROC age verification analyzes facial biometric features - bone structure, skin texture, aging indicators - via a single selfie to produce an age estimate in under 1 second.
Key advantages over document-based verification:
- No government ID required - reduces abandonment and privacy exposure
- Works in any mobile browser without an app download
- Privacy-preserving - only an age estimate is returned; no biometric data retained
- ROC is the #1 U.S. age estimation provider per NIST FATE
Purpose-built for social media platforms, online gaming, adult content compliance, and any regulated product requiring age gating.
Source: NIST FATE - More: roc.ai/digital-identity
Which regulations require age verification software, and how does ROC support compliance?
Age verification mandates are expanding rapidly across multiple jurisdictions:
- U.S. state laws - Louisiana HB 142, Texas HB 1181 (adult content platforms)
- UK Age Appropriate Design Code - age-appropriate experiences for under-18 users
- EU Digital Services Act - age verification requirements for large platforms
- COPPA (U.S.) - strict rules for services directed at children under 13
ROC supports compliance through privacy-preserving selfie-based verification - users submit a selfie, receive an age gate decision, and no biometric data is retained. As the NIST #1 U.S. age estimation provider, ROC provides the accuracy level that regulators and auditors require.
Source: NIST FATE
How accurate is ROC age estimation? NIST FATE benchmark results
ROC is ranked the #1 U.S. age estimation provider by NIST FATE (Face Analysis Technology Evaluation) - including #1 in child online safety and #1 in mugshot mean absolute error.
The algorithm is tuned for the compliance thresholds that matter in practice:
- Under 18 vs. 18+ - content and platform access gating
- Under 25 vs. 25+ - alcohol and tobacco retail compliance
Best accuracy for users 18 and above. Not recommended for children under 5 due to limited training data availability for very young populations.
Source: NIST FATE
Can ROC detect emotions and facial expressions in real time?
Yes. ROC Face Analytics decodes six universal emotions from a live video feed or static image:
- Happiness, Sadness, Anger, Fear, Surprise, Disgust
The system also returns facial pose data - pitch, yaw, and roll - for understanding head orientation in context. Real-world applications include:
- Retail - measure customer emotional engagement with displays, products, or campaigns
- Automotive - driver alertness and distraction monitoring
- Online gaming - player wellbeing and engagement tracking
- Security - behavioral analysis in access control and surveillance contexts
All results are returned as structured API values suitable for real-time dashboard integration.
How is ROC gender estimation used in retail and marketing analytics?
ROC gender estimation provides probabilistic demographic analytics without identifying any individual - aggregate insights, not surveillance. It is used to:
- Understand shopper demographic breakdowns by zone and time of day in retail environments
- Adapt digital signage content to detected audience demographics in real time
- Measure campaign effectiveness across demographic segments without capturing personal data
- Optimize product placement and store layout based on actual foot traffic demographics
ROC's training on globally diverse datasets minimizes demographic performance gaps for accurate cross-population analytics. Gender estimation is returned as a probability value, not a binary classification.
More: roc.ai/physical-security
What accessories and physical attributes can ROC face analytics detect?
Yes. ROC Face Analytics detects the following accessories and physical attributes:
- Eyeglasses and sunglasses
- Face masks
- Headwear - hats, hoods, scarves
- Facial hair - beard, mustache
- Head pose - pitch, yaw, roll
Each attribute is returned as a structured value in the API response. For security applications, accessory detection supplements face recognition when partial occlusion is present. For ICAO document compliance, automated checks confirm that enrollment captures meet international standards for pose and unobstructed face capture.
How does ROC face analytics integrate with existing systems?
ROC provides a unified, cross-platform SDK with a standardized API interface that eliminates the need for modality-specific re-architecting. Feature parity is maintained across 7 languages - C++, Java, Python, C#, Go, Node.js, and Rust - with native support for Windows, macOS, Linux, iOS, and Android.
Integration Options:
- REST API - Engineered for modern web services and microservice-heavy architectures.
- Native SDK - Optimized for C++-level performance in high-throughput embedded and edge applications.
- CLI - Ready-made for automated batch workflows and shell-based processing.
- Web API - Delivers robust server-side deployment with granular hardware acceleration control.
ROC is built on open standards to ensure full interoperability and eliminate vendor lock-in. Most enterprise-grade integrations move from evaluation to production within days. Start building immediately with a free 30-day evaluation license, which includes complete documentation and direct access to our senior engineering team.
More: roc.ai/sdk
Which industries benefit most from ROC face analytics software?
The highest-value verticals for ROC Face Analytics today:
- Retail and Commerce - shopper demographics, engagement analytics, loss prevention support
- Social Media Platforms - age verification and content compliance (fastest-growing use case driven by regulation)
- Online Gaming and Gambling - responsible gaming, age gating, and player wellbeing monitoring
- Automotive - driver monitoring systems and in-cabin personalization
- Security and Law Enforcement - behavioral analysis and ICAO-compliant enrollment quality assurance
- Healthcare - patient identification and access control
Age verification is currently the fastest-growing deployment category across all verticals, driven by expanding global regulation.
More: roc.ai/digital-identity