American Vision AI Leader Excels in Mission-Critical Identity Verification for Mugshot, Visa Border, and Border-To-Border Matching

ROC, a leading multimodal biometrics provider, has once again demonstrated its industry leadership by achieving top-tier accuracy in the latest NIST Face Recognition Technology Evaluation (FRTE). 

Backed by decades of deep scientific research, ROC is continually setting new benchmarks for speed, accuracy, and efficiency across key biometric modalities. Whether it’s verifying travel documents, assisting forensics investigations, providing actionable intelligence to real-time crime centers, or securing border crossings, the company’s foundational technology is redefining mission-critical applications worldwide. 

1:N Accuracy

In one-to-many matching, ROC ranked #2 in Mean Average Error across all benchmarks among Western providers. This metric evaluates how well a system identifies a person from a large database of images.

1:N Accuracy
Source: NIST FRTE

Top rankings include:

#1 in mugshot-to-mugshot matching
Industry-leading accuracy in law enforcement, forensic, and ABIS applications. Compares current images with historical mugshots from criminal databases.

#1 in visa border recognition
High-precision identity verification at border crossings, airports, and immigration points. Successfully matches passenger faces against visa or passport databases. 

“At ROC, we’re driven by a clear mission: to provide the most accurate, secure, and efficient biometrics solutions to our customers. Our top-tier NIST FRTE results reflect the relentless innovation and scientific passion that fuel everything we do. Every year, we dedicate upward of 30% of our total corporate budget to R&D to ensure we remain at the forefront of artificial intelligence, machine learning, and biometrics.”

– Dr. Brendan Klare, Chief Scientist and Co-Founder, ROC

1:1 Accuracy

In one-to-one matching, ROC ranked #2 in Mean Average Error across all benchmarks among Western providers. This measures how accurately a system can verify whether two images belong to the same individual.

1:1 Accuracy Source: NIST FRTE

Pole-position performance includes:

#1 in border-to-border matching
Top-ranked accuracy in identifying individuals across multiple high-security checkpoints. Various stages of travel might include entry, transit, and exit points. 

#1 in visa border recognition
Best in the West accuracy in travel document authentication. Precision matching of live individuals against their official documents. 

“We’re proud to be the only American-made provider delivering this level of accuracy, speed, and efficiency to support critical applications for the U.S. government and global enterprises. Our performance in this global NIST face recognition benchmark highlights our dedication to advancing identity verification solutions that truly matter.”

“By offering our single-source, NIST-ranked face, fingerprint, and iris algorithms in a unified multimodal platform, we can deliver more flexible capabilities and cost-effective deployments for large-scale digital identity programs, such as national ID and ABIS.”

– Blake Moore, COO, ROC

ROC multimodal biometrics solutions are trusted by the U.S. military, law enforcement, and leading global FinTech brands to enable fast, accurate, and secure identity verification. The company’s innovative approach to biometrics integrates NIST-ranked face, fingerprint, and iris algorithms into a comprehensive identity verification toolkit that can be tailored to the unique needs of each customer.

Making the world smarter, safer, and stronger.

ROC is the only American-made multimodal biometrics and Vision AI provider, trusted by the U.S. military, law enforcement, and leading global FinTech brands. Our next-gen biometrics continue to shape the future of secure identity verification across government, border security, and enterprise applications. ROC is employee-owned, ethics-driven, and proudly made in America. The company is headquartered in Denver, CO, with centers of excellence in Morgantown, WV, and Grand Rapids, MI.

 

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