ROC has been named “Facial Recognition System of the Year” in the 2026 AI Breakthrough Awards, recognizing the performance, responsibility, and real-world impact behind our American-made Vision AI platform. As identity and security missions become more complex, this recognition underscores a larger truth: trusted facial recognition is no longer just a technical capability. It is critical infrastructure.

Recognition for ROC’s Face Recognition Technology

ROC has been selected as the winner of the “Facial Recognition System of the Year” award in the 9th Annual AI Breakthrough Awards, which recognizes leading innovators, technologies, and products across the global artificial intelligence market. For ROC, the award reflects more than a single product milestone. It recognizes years of focused investment in high-performance facial recognition, biometric intelligence, and responsible Vision AI built for some of the world’s most demanding operational environments.

As AI becomes more embedded in identity, security, and public safety infrastructure, organizations need facial recognition systems that can perform accurately, quickly, and responsibly across real-world conditions. That means technology must be tested, trusted, and built to support human decision-making — not replace it. ROC’s facial recognition technology is designed for exactly that standard.

Built for Mission-Critical Identity Environments

Facial recognition has become a core layer of modern identity infrastructure. It supports secure onboarding, fraud prevention, access control, investigative search, border and traveler verification, and public safety workflows where speed and accuracy matter.

But mission-critical identity systems require more than algorithmic performance in a lab. They must work across variable image quality, lighting conditions, camera types, enrollment environments, and operational workflows. They must also integrate into larger systems where face recognition is one part of a broader identity intelligence mission.

ROC’s approach is built around this very reality. As a U.S. leader in Vision AI, ROC brings together biometrics, video analytics, and decision intelligence in one interoperable platform. Its multimodal capabilities include face, fingerprint, and iris recognition, alongside object detection, video analytics, license plate recognition, and gun detection.

This allows agencies, enterprises, and integrator partners to move beyond isolated point solutions and toward a more unified model of identity intelligence — one that connects signals, reduces friction, and supports faster, more informed decisions.

“We founded ROC on the belief that America’s critical identity and security infrastructure should not have to rely on aging or foreign-built AI technologies. As demand grows for trusted, sovereign AI solutions, organizations need technology that delivers proven performance in real-world environments. This recognition by AI Breakthrough reflects ROC’s commitment to innovating and advancing secure, responsible Vision AI for the world’s most demanding identity and security missions.”

B. Scott Swann
Board Member & CEO of ROC

Independent Testing, Real-World Performance

In high-stakes identity applications, trust has to be earned through measurable performance. ROC’s facial recognition technology has been independently evaluated through NIST benchmark testing, including top-ranked results across facial recognition and biometric identification. These benchmarks help agencies and enterprises evaluate accuracy, speed, and consistency across diverse datasets and use cases. ROC’s recent NIST performance includes:

This matters because performance differences can directly affect operational outcomes, from reducing false matches to accelerating investigative search and improving verification at scale. ROC’s technology is designed to meet the needs of organizations responsible for critical identity and security operations, including federal government agencies, law enforcement organizations, financial institutions, and global enterprise customers.

The AI Breakthrough recognition reinforces what our partners already know: trusted Vision AI must combine advanced research, operational reliability, and responsible deployment.

Responsible Vision AI Built in America

ROC was founded on a clear belief: America’s critical identity and security infrastructure should not have to depend on aging or foreign-built AI technologies. As ROC CEO B. Scott Swann argues in “Tech Dependence Is the New Oil Dependence”, the next generation of national security infrastructure will be shaped by who builds, controls, and governs the underlying AI. 

That belief continues to shape ROC’s platform, product strategy, and approach to responsible innovation. As demand grows for sovereign AI solutions, organizations need technology with clear origins, accountable development practices, and performance that can stand up to independent scrutiny. This is especially important in facial recognition, where public trust depends on transparency, governance, privacy protections, and appropriate human oversight.

ROC’s commitment to responsible Vision AI is reflected in its Code of Ethics, privacy-by-design principles, and continued support for Testing and Standards that help ensure biometric systems are accurate, accountable, and operationally sound.

Read the official press release