News Archives | ROC https://roc.ai/category/news/ Rank One develops industry-leading, American-made computer vision solutions that leverage Artifical Intelligence and make the world safer and more convenient. Tue, 25 Mar 2025 00:03:04 +0000 en-US hourly 1 https://wordpress.org/?v=6.7.1 https://roc.ai/wp-content/uploads/2024/02/cropped-Group-44-1-32x32.png News Archives | ROC https://roc.ai/category/news/ 32 32 ROC Demonstrates Breakthrough Improvements in Fingerprint Recognition https://roc.ai/2025/03/24/roc-demonstrates-breakthrough-improvements-in-fingerprint-recognition/ Tue, 25 Mar 2025 00:03:04 +0000 https://roc.ai/?p=17263 Vision AI Company Achieves Up to 35% Accuracy Improvements for […]

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Vision AI Company Achieves Up to 35% Accuracy Improvements for High-Speed and Precision Matching

ROC, a leader in American-made biometrics, is proud to announce significant performance improvements in the latest NIST evaluation of the Proprietary Fingerprint Template (PFT III). From this evaluation, ROC is notably the top U.S. provider of fingerprint matching solutions on FBI-compliant systems for law enforcement and the #1 global provider in combined speed and accuracy, including for travel, border, and secure credential scenarios.

These advancements enhance the security of biometric authentication, playing a critical role in law enforcement, border control, and national security settings, where precise identification is paramount. This focus on improving accuracy and performance ensures ROC solutions deliver peak efficiency in real-world applications.

Based on the latest NIST results, ROC’s new enhanced fingerprint matching algorithm roc+0007 delivered impressive reductions in error rates compared to the speed-focused roc+0001 across key benchmarks:

NIST PFT III Error Rates

Test roc+0001 roc+0007 Accuracy Gains
AZPD 0.0055 0.0044 20%
LASD 0.0101 0.0065 35%
PoE 0.0053 0.0048 10%
US Visit 0.0056 0.0050 11%
N2N 0.0112 0.0074 34%
PFTII AZPD 0.0046 0.0032 31%
PFTII DHS2 0.0352 0.0237 33%
PFTII PoE+BVA 0.0031 0.0024 23%
Minex 0.0022 0.0018 19%

Sources: NIST ROC+0001, NIST ROC+0007

In addition to accuracy improvements, ROC has solidified its position as a top-tier fingerprint recognition provider with two standout benchmarks:

Top American provider in LASD

FNMR = 0.0065 at FMR = 0.001
ROC achieves top-tier results on Los Angeles County Sheriff’s Department (LASD)-captured data using FBI-compliant systems for law enforcement.

#1 global provider in US VISIT #2

FNMR = 0.005 at FMR = 0.0001
ROC algorithms perform well with data captured at different operational scenarios, balancing speed and accuracy to maintain smooth flow while ensuring optimum security. Examples include TSA, global entry, passport, VISA, DMV, e-gates, and background checks.

Use Case: Balancing Speed and Accuracy 

For organizations that need to process vast amounts of biometric data in real-time, ROC provides tailored performance options. 

Algorithm Description
roc+0001 A fast matcher optimized for rapid processing at 0.6 microseconds per match, ideal for environments requiring high throughput.
roc+0007 An enhanced matcher designed for maximum accuracy while still achieving impressive speeds of 701 microseconds per match.

For instance, a national ID system performing large-scale identity searches may require matching a single individual against millions—or even billions—of records. In this scenario, roc+0001’s rapid 0.6 microsecond match time ensures efficient throughput for such high-volume searches. Conversely, a forensic lab seeking maximum precision for criminal investigations may opt for roc+0007, where the slightly longer 701 microsecond match time provides industry-leading accuracy while still operating in under one millisecond.

“ROC’s debut into PFT showcased an algorithm already top-tier in terms of both accuracy and speed. However, our steady improvements in accuracy over the past year demonstrate that we are deeply committed in our research and engineering efforts to deliver even higher levels of accuracy to our customers. We are confident that the momentum we have in building next-generation fingerprint recognition capabilities will continue to separate us from the competition in the ongoing PFT evaluations.”

– Dr. Joshua Engelsma, Principal Scientist at ROC

PFT III is an evaluation of fingerprint technology that assesses the performance and accuracy of proprietary fingerprint templates in one-to-one matching. These templates are specialized files that encode fingerprint features in a format exclusive to their creator.

Making the world smarter, safer, and stronger.

ROC is the only American-made multimodal biometrics and computer vision provider, trusted by the U.S. military, law enforcement, and leading global FinTech brands. Their fully multimodal solutions leverage NIST-ranked face, fingerprint, and iris algorithms to enable fast, accurate, and secure identity verification for a range of applications including national ID, ABIS, digital payments, and more. 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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ROC Dominates NIST FRTE, Ranking #1 in Biometric Accuracy for Law Enforcement, Border Security, and Travel https://roc.ai/2025/03/20/roc-dominates-nist-frte-ranking-1-in-biometric-accuracy-for-law-enforcement-border-security-and-travel/ Thu, 20 Mar 2025 16:06:19 +0000 https://roc.ai/?p=17252 American Vision AI Leader Excels in Mission-Critical Identity Verification for […]

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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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The Future of Public Safety: How Smart Technology Can Protect Communities https://roc.ai/2025/03/05/the-future-of-public-safety-how-smart-technology-can-protect-communities/ Wed, 05 Mar 2025 12:30:22 +0000 https://roc.ai/?p=17204 The Limitations of Traditional Camera Systems Did you know after […]

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The Limitations of Traditional Camera Systems

Did you know after 20 minutes of monitoring a video feed, humans lose 95% of their ability to detect critical events?

In cities and towns worldwide, cameras are everywhere—mounted on buildings, inside businesses, and at traffic intersections. Yet, despite their presence, these cameras often act as silent witnesses, only consulted after an incident has occurred. What if they could do more? What if they could help actively assess a situation, reduce response times, and even save lives?

That’s the vision behind ROC Safe Communities—a multimodal public safety solution. It aims to revolutionize emergency response by upgrading existing camera infrastructure with advanced analytics to provide real-time, actionable intelligence—without compromising personal privacy or freedoms. 

The Evolution of Smart Public Safety

Advancements in artificial intelligence (AI), machine learning, and data analytics have transformed many industries, and public safety is no exception. Traditional camera feeds require manual monitoring and after-the-fact review, leading to delays in crime prevention and emergency response.

Now, AI-powered video analytics can detect anomalies, such as unattended bags in a crowded area or brandished firearms, and alert designated authorities instantly. This shift from reactive to proactive security is changing how communities handle emergencies. Of course, human adjudication is still an important part of this process to help prevent false alerts.

Fact: face recognition is more accurate than fingerprint recognition. With AI video intelligence, the risk of false identification is drastically reduced.

A Global Approach to Crime Prevention

Crime and safety challenges extend beyond any single country. Cities worldwide face issues like drug trafficking, human trafficking, and organized crime. Smart security solutions enhance investigative capabilities by tracking movement patterns and identifying high-risk areas.

For example, in major international airports, AI-assisted surveillance helps detect human trafficking by recognizing patterns associated with victims and traffickers. In urban centers, predictive policing models use data to identify crime hotspots.

Smart Security in Public Spaces

Traditional camera systems are reactive, serving only as tools for review after a crisis. They don’t help first responders in the critical moments when swift action could save lives.

Beyond crime prevention, real-time security analytics can improve public safety in schools, parks, and transportation hubs. Many cities are already using automated threat detection to enhance security:

  • Schools: AI-powered alerts identify weapons and unauthorized individuals on campus.
  • Smart Buildings: 24/7 AI video analytics ensure adaptive security for office buildings, residential complexes, and commercial properties.
  • Traffic Management: AI-powered monitoring optimizes traffic flow, identifies stolen vehicles, manages access to restricted areas, monitors traffic patterns, and enables smart parking systems.
  • Emergency Response: Real-time detection identifies traffic-related incidents, coordinates rapid response, improves road safety with timely alerts, alleviates congestion, and tracks vehicles involved in accidents for faster resolution.
  • Healthcare: Intelligent monitoring and access control protect patients and staff while ensuring secure zones, accurate identification, and streamlined care.
  • Entertainment: Integrated video surveillance and access control enhance security at stadiums, theme parks, resorts, and casinos by monitoring crowds, verifying age and identity, and mitigating live threats.

In a successful ROC Safe Communities implementation, live video intelligence helped apprehend a known sex offender on a school campus within minutes of the alert. These tools create safer environments for communities worldwide.


Privacy-First Security: The Ethical Approach

A major concern with surveillance technology is privacy. Many systems raise ethical questions about mass monitoring and data collection. However, modern solutions aim to balance safety with civil liberties by using:

  • Anonymized data processing to prevent unnecessary tracking of individuals.
  • Transparent governance on how video analytics are used and who can access them.
  • Community oversight to ensure responsible use of security technologies.

Cities like Amsterdam and Toronto have explored privacy-first smart security, where AI systems monitor for threats without storing personal data. This approach ensures that public safety does not come at the expense of privacy.

This is where responsible AI plays a critical role. As AI-driven biometric and surveillance technologies become more advanced, they must be fair, secure, and privacy-conscious, minimizing harm while maximizing societal benefits. Ensuring transparency and accountability means having clear policies about how biometric data is collected, stored, and used. Strong data privacy measures, such as encryption, anonymization, and strict access controls, are essential to safeguarding individuals’ biometric information. Additionally, bias must be actively addressed so that biometric systems work equitably across all demographics, reducing racial, gender, or age-related disparities.

View Our Code of Ethics

The Future of Smart Public Safety with AI

The demand for intelligent security solutions is growing globally. As technology continues to advance, cities will need to balance innovation with ethical responsibility.

The future of public safety could include autonomous emergency response systems that provide real-time incident updates, AI-driven crime hotspot models that optimize police resource allocation, and community-based security solutions that empower citizens to participate in neighborhood safety. As cities explore how to integrate new technologies into their safety strategies, the time to act is now. By adopting smart, ethical, and efficient security solutions, we can foster a future where public safety and privacy coexist.

To learn more about ROC Safe Communities, use the contact form below.

 

 

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ROC Drives Latent Fingerprint Technology Forward https://roc.ai/2025/02/18/roc-drives-latent-fingerprint-technology-forward/ Tue, 18 Feb 2025 15:50:29 +0000 https://roc.ai/?p=17156 American Vision AI Leader Cements Its Innovation Edge with Massive […]

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American Vision AI Leader Cements Its Innovation Edge with Massive 30% Accuracy Gains in 12 Months, Achieving Top-Tier Precision with Next-Gen Speeds in Latest NIST Benchmark

Denver, CO – ROC, a leading provider of American-made biometric solutions, is proud to announce that its latest algorithm, ROC +0014, has once again excelled in the NIST Evaluation of Latent Fingerprint Technologies (ELFT).

By combining top-tier accuracy with category-defining efficiency, ROC +0014 highlights the company’s ongoing commitment to innovation. This next-generation technology sets new benchmarks in search speed and scalability, paving the way for future applications.

In the latest ELFT evaluation, ROC claimed the #1 rank for combined accuracy and efficiency, outperforming all competitors in terms of real-world operational benefits.

Source: NIST ELFT

ROC +0014 completed the matching process in a mere 64 seconds, significantly outpacing the top-performing entrant (43 minutes) and the overall test average (1 hour and 42 minutes).

Equally impressive are the accuracy gains. In the space of 12 months, ROC +0014 managed a 30% increase in accuracy compared to its predecessor, ROC +0009. 

Average FNIR across all distal evaluation sets (lower is better):

  • ROC +0009: 0.198
  • ROC +0014: 0.138
  • Change: +30.3%

These outcomes underscore ROC’s dedication to crafting world-class biometric algorithms and providing practical solutions for real-world challenges. Case in point, the company’s latent fingerprint matcher–the fastest in the world–boosts response times while reducing system complexity, computing resources, and total cost of ownership.

“We are excited to once again be recognized as a leader in NIST ELFT testing. At ROC, accuracy and extreme scientific rigour are more than just priorities, they’re in our DNA. The same applies to innovation, namely enhancing operational performance while reducing system complexity and costs. Very few providers can match a 30 million fingerprint database in 1 minute.”

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

How Vision AI is transforming fingerprint analysis.

With the capability to match latent fingerprints in seconds, ROC’s leading-edge latent fingerprint technology is transforming modern law enforcement and crime scene investigation. The lightweight algorithms can even provide on-the-spot and on-device matching, enabling instant analysis at the crime scene. This reduces the identification process from hours to seconds, delivering crucial breakthroughs in situations where response time is critical, while also minimizing the resources needed for traditional forensic analysis, leading to more efficient and cost-effective operations.

Learn More

“The algorithms we submit to NIST are the exact same production-ready algorithms available in the ROC SDK. Not only do we use ROC SDK to power all of our next-gen national security, public safety, and ABIS platforms, we ensure it’s readily accessible for anyone to test for themselves–at no cost.”

The NIST ELFT evaluation is a highly respected and rigorous benchmark designed to assess the accuracy of latent matching. By comparing the accuracy of searches using images alone with those using various feature sets marked by experienced human latent fingerprint examiners, the evaluation aims to gauge the current state of the art in AI-powered biometric identification.

By delivering its signature combination of top-tier accuracy and powerfully lightweight search speeds, ROC continues to set the standard for biometric innovation.

Making the world smarter, safer, and stronger.

ROC is the only American-made multimodal biometrics and computer vision provider, trusted by the U.S. military, law enforcement, and leading global FinTech brands. Our fully multimodal solutions leverage NIST-ranked face, fingerprint, and iris algorithms to enable fast, accurate, and secure identity verification for a range of applications including national ID, ABIS, digital payments, and more. 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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Why Investing in American AI is Essential for National Security https://roc.ai/2025/01/13/why-investing-in-american-ai-is-essential-for-national-security/ Mon, 13 Jan 2025 20:34:47 +0000 https://roc.ai/?p=17133 A Message From Our CEO: This Is Our Moment To […]

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A Message From Our CEO: This Is Our Moment To Rethink, Rebuild, and Embrace U.S.-Led AI

In the wake of the September 11th attacks, our nation faced an urgent security challenge: how to screen identities at scale to protect our borders and secure our nation. At that time, U.S. biometric technology had not yet matured, so we turned to foreign companies to power our identity screening ecosystem with AI-driven solutions.

While these decisions were pragmatic in the short term, they created long-term dependencies on foreign AI technologies to safeguard one of our most critical national functions. Today, nearly 25 years later, we find ourselves at a crossroads.

U.S.-based companies have made significant advancements in AI and biometric technologies. These homegrown solutions are now highly competitive, offering both cutting-edge performance and the security assurances we need in an increasingly complex geopolitical landscape. Yet, our reliance on foreign AI has led to entrenched dependencies that go far beyond technology.

Many government organizations have found themselves locked into sole-sourcing new contracts to the same foreign providers, bypassing fair and open competition. This perpetuates a cycle of reliance and excludes highly capable—and often significantly cheaper—American alternatives from having a seat at the table. 

The result? Not only do we forfeit economic opportunities for U.S. companies, but we also miss the chance to strengthen our national security with domestically anchored technology.

What’s more, continuing to invest in foreign AI solutions inadvertently strengthens the defense and intelligence capabilities of other nations. When we adopt foreign technologies, we aren’t just outsourcing innovation; we’re funding advancements that can ultimately be leveraged by foreign defense organizations, often to the detriment of our own strategic position.

As we enter a new era of AI innovation, the new administration has clear direction from voters to better secure our borders. However, our current infrastructure for screening people reveals both complexity and inefficiency. Across federal organizations, there is significant redundancy, which adds layers of complexity without addressing major gaps that persist in our screening processes. These gaps undermine the effectiveness of our security efforts and highlight the urgent need for a strategic overhaul.

This is our moment to rethink and rebuild. 

By leveraging U.S.-developed AI technologies, we can create smarter, more cohesive systems that streamline efforts, eliminate redundancies, and close critical gaps. It’s time to ensure our strategies for national security are powered by American innovation—not imported solutions that leave us vulnerable.

The question isn’t whether we can afford to invest in American AI—it’s whether we can afford not to.

 

Sincerely,

B. Scott Swann
CEO of ROC

 

About ROC
Making the world smarter, safer, and stronger. ROC is the only American-made multimodal biometrics and computer vision provider, trusted by the U.S. military, law enforcement, and leading global FinTech brands. Our fully multimodal solutions deliver game-changing results with battle-tested reliability across NIST government testing, military applications, and 200M+ annual identity proofing transactions.

 

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ROC and Smytec Revolutionize Crime Scene Investigation with Latent Fingerprint Integration https://roc.ai/2024/12/17/roc-and-smytec-revolutionize-crime-scene-investigation-with-latent-fingerprint-integration/ Tue, 17 Dec 2024 20:31:13 +0000 https://roc.ai/?p=17060 Innovative Partnership Promises To Transform On-Site Fingerprint Matching From ‘Analytics […]

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Innovative Partnership Promises To Transform On-Site Fingerprint Matching From ‘Analytics To Actionable Intelligence’ in Seconds.

Denver CO, and London, England – ROC, the American-made multimodal biometrics and Vision AI provider, today announced a groundbreaking partnership with Smytec, a global leader in advanced forensic imaging technologies. The two companies have integrated ROC’s next-gen latent fingerprint technology into Smytec’s BlindSite product. The project was facilitated by U.K. integrator and national security specialists Vigilate. 

The BlindSite platform, powered by ROC latent fingerprint algorithms – the fastest in the world – transforms the future of law enforcement and crime scene investigation by enabling on-the-spot and ‘on device’ matching of latent fingerprints with unparalleled speed, accuracy, and efficiency. 

BlindSite, already a gamechanger in forensic technology, utilises hyperspectral and multispectral imaging to capture contactless evidence non-destructively from distances of up to five meters. The integration of ROC latent fingerprint recognition now allows captured fingerprints to be instantly analysed at the scene, providing matching results in under a minute. This reduces the identification process from hours to seconds, delivering crucial breakthroughs in situations where response times are critical.

“Integrating ROC fingerprint capabilities with BlindSite addresses long-standing challenges in forensic science. From reducing evidential backlogs to saving lives in high-stakes situations, this partnership exemplifies how technology can empower the entire criminal justice system.”

– Dr. Alexander Smyth, CEO of Smytec

 

Revolutionising Crime Scene Investigation

The BlindSite system accelerates crime scene investigations by up to sixty times, while preserving evidence integrity through its non-contact, non-destructive application. Beyond empowering forensic investigators to rapidly respond to real-time intelligence at the scene, BlindSite streamlines the crime scene investigation process, reducing the resources required for traditional forensic analysis and leading to more efficient and cost-effective operations.

“BlindSite’s unique features deliver unmatched value to forensic teams. This integration not only transforms how evidence is captured and analysed but also redefines investigative workflows, delivering faster justice and enhanced public safety.”

– Dr. Alexander Smyth, CEO of Smytec

“Our partnership with Smytec is a testament to ROC’s commitment to providing cutting-edge biometric solutions that address the evolving needs of the public safety and defense sectors. By integrating our next-gen latent capabilities into BlindSite, we are enabling first responders to make faster, more informed decisions at the point of need, accelerating the path to CSI and other law enforcement activities.

-B. Scott Swann, CEO of ROC

 

The World’s Fastest Latent Fingerprint Matcher

ROC’s next-gen latent capability represents a major leap forward in biometric intelligence, allowing forensic units to match latent prints in seconds not hours. 

#1 global algorithm in efficiency for latent fingerprint recognition.

At 15 seconds, ROC latent matching is almost 500x faster than the industry average of two hours.

Top 3 global algorithm in accuracy for latent fingerprint recognition.

Scoring on both distal prints and palm prints when aggregating rankings across all datasets and accuracy metrics.

Source

The partnership between ROC and Smytec also paves the way for future integration of face recognition and iris recognition technologies, expanding the capabilities of the BlindSite platform and addressing the growing demand for comprehensive biometric solutions in the defense and security sectors.

The Future of Law Enforcement

From crime scene investigations to cold cases, ROC latent fingerprint algorithms will enable real-time decision making for officers in the field by cutting down response times to seconds and extending capabilities to edge and mobile. Potential scenarios include instantly verifying identities at traffic stops or border checkpoints against forensic databases, missing persons lists, and most wanted lists, removing critical bottlenecks to sensitive intelligence.

Learn More

About Smytec
Smytec specializes in advanced forensic imaging technologies that empower crime scene investigators with innovative, non-contact solutions. Their flagship product, BlindSite, combines state-of-the-art optics and imaging science to deliver unparalleled capabilities for evidence capture and analysis.

About ROC
Making the world smarter, safer, and stronger. ROC is the only American-made multimodal biometrics and computer vision provider, trusted by the U.S. military, law enforcement, and leading global FinTech brands. Their fully multimodal solutions deliver game-changing results with battle-tested reliability across NIST government testing, military applications, and 200M+ annual identity proofing transactions. 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. 

Face recognition | Fingerprint recognition | Iris recognition | AI video analytics & threat detection | Vehicle & license plate recognition

 

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Biometric and Intelligence Expert Sam Cava Joins ROC as Principal Strategist to Advance ROC’s National Security Programs https://roc.ai/2024/12/11/biometric-and-intelligence-expert-sam-cava-joins-roc-as-principal-strategist-to-advance-rocs-national-security-programs/ Wed, 11 Dec 2024 19:50:52 +0000 https://roc.ai/?p=17049 Architect of the Department of Defense ABIS and the FBI’s […]

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Architect of the Department of Defense ABIS and the FBI’s National Security Biometrics Systems Sharpens ROC’s Push for Federal Biometric Innovation

ROC, the leading American-made multimodal biometrics and computer vision provider has tapped Sam Cava as Strategic Advisor to guide the company’s rapid expansion into Federal, State, and Local security programs.

With CEO B. Scott Swann, who led development of the FBI’s Next Generation Identification (NGI), and now Sam Cava, the architect of DoD ABIS and the FBI’s National Security biometric systems, ROC further solidifies its leadership credentials in U.S. government biometrics.

A West Virginia native and former U.S. Air Force officer, Cava brings over 30 years of experience building and deploying biometric enterprise initiatives for high-assurance government agencies inside the FBI, DoD, and Intel Community (IC). This includes:

  • Building and operating the DoD ABIS, the U.S. military’s authoritative biometric repository and identification system for enemy combatants.
  • Rapid prototyping and fielding of the DoD BISA (Biometric Identification System for Access) to secure U.S. military personnel and facilities in Iraq and Afghanistan.
  • Designing and deploying biometrics systems that put mission-critical tools in the hands of special agents, warfighters, and intelligence operatives.
  • Negotiating the exchange of biometrics on critical known and suspected terrorists with U.S. allies and partners.

Making the World Smarter, Safer, and Stronger

Cava’s primary focus will be to lead ROC’s expansion into federal biometrics and National Security programs. His proven track record of developing and fielding biometric systems across interagency domains will accelerate the company’s capabilities to deliver classified services and expanded ABIS capabilities to USG and allied partners. Leveraging on that experience, Cava is working with State officials in the fielding of smart cities in several West Virginia counties and will lead ROC’s growing footprint in Morgantown, WV. 

“Sam’s experience and leadership in the federal biometrics field is unparalleled. He has an exceptional ability to assemble and lead some of the most talented people who then turn around and deliver innovations that actually work in tactical environments. I’m excited that Sam will be a key player as we begin rolling out ROC ABIS with disruptive capabilities such as the world’s fastest latent fingerprint matcher. ROC ABIS delivers innovation that our law enforcement partners have been demanding. Watch this space.”

– B. Scott Swann, CEO of ROC

Cava previously served as Director of the DoD Biometrics Fusion Center, where he led the development of the DoD’s Automated Biometric Identification System (ABIS) and its deployment across defense and intelligence missions. His expertise spans multimodal biometrics, facial recognition, iris recognition, and fingerprint matching, with a focus on delivering operationally effective solutions.

Most recently, as Unit Chief of the FBI’s Multimedia Exploitation Unit, Cava was responsible for developing, managing, and operating all classified biometric capabilities for the FBI. He was also the system owner of the Digital Content Analysis Platform (DCAP), the FBI’s largest cloud-based digital evidence environment. Utilizing DCAP and leading a team of investigative personnel, Cava provided direct operational support for numerous high-profile cases, such as the Las Vegas mass shooting, Jan 6 investigation, Uvalde school shooting, and Pittsburgh synagogue attack.  

“I am honored to join ROC, a company that shares my passion for building intelligence solutions that protect Americans and our way of life. The work here is driven by a culture of innovative thinking, ethics, and scientific rigor. No doubt, ROC is strategically positioned to offer transformative capabilities to government agencies around the world in support of their most critical national security missions.”

– Sam Cava, Strategic Advisor, ROC

ROC Vision AI: American Made, Globally Trusted

ROC is the only American-made multimodal biometrics and computer vision provider, trusted by the U.S. military, law enforcement, and leading global FinTech brands. Securing more than 200M identity proofing transactions each year, ROC’s fully multimodal solutions deliver gamechanging results with NIST-ranked and battle-tested reliability. 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.

Face recognition | Fingerprint recognition | Iris recognition | AI video analytics & threat detection | Vehicle & license plate recognition

 

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ROC Emerges as the Top U.S. Provider for Age Estimation https://roc.ai/2024/12/06/roc-emerges-as-the-top-u-s-provider-for-age-estimation/ Fri, 06 Dec 2024 18:54:34 +0000 https://roc.ai/?p=17011 The Latest NIST FATE Benchmark Provides Independently Tested, Publicly Available […]

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The Latest NIST FATE Benchmark Provides Independently Tested, Publicly Available Insights Into the State of the Industry, Helping Businesses Make More Informed Decisions

Denver, CO – ROC, the leading American-made multimodal biometrics provider, today announced its top-tier ranking in the recent NIST Face Analysis Technology Evaluation (FATE) for Age Estimation and Verification. The report underscores the significant advancements in age estimation technologies, highlighting their real-world potential as cutting-edge, privacy-conscious solutions for managing access to age-restricted products, services, and content.

In the most recent NIST FATE benchmark, ROC was the top U.S. provider of age verification technology, and second globally, with an average Mean Absolute Error (MAE) of 2.96 years across three main datasets – application, border, and mugshot. 

FATE-Age-Estimation-and-Verification-Subtle-Gradient-with-Dropshadow-Plus-Texture1-Text-Size-Changed.
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MAE-Mugshots
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“Once again, we are thrilled to be recognized through NIST benchmarking as a leading provider of highly accurate age estimation technology. As the top-ranked American-made biometrics company in this space, we take great pride in pushing the boundaries of Vision AI research and performance to meet the rigorous standards of our military, law enforcement, and global FinTech partners.”

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

A Privacy-First Approach to Age Estimation and Verification

ROC age estimation is a privacy-first technology that accurately verifies a user’s age without requiring their date of birth or other sensitive personal information. This helps businesses uphold stringent privacy standards while prioritizing user privacy, making it an ideal choice for industries where age-restricted content or services are prevalent, such as retail, social media, online gaming and gambling, and adult content platforms.

Border Challenge

ROC placed #2 overall in the Border Challenge-25, making it the top U.S. provider. 

Values are averages of 12 FPR estimates from two sexes and six regions-of-birth for subjects aged 17. Comprises of airport concourse border crossing photos with variable pose, illumination, and eye glasses. 

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Child Online Safety

In a tight finish, ROC placed #2 overall in Child Online Safety for Ages 17-22, the key cohort for protecting minors. 

FPR is for proportions of subjects aged 17 to 22 but whose age is estimated from 13 to 16 (below 17).

Source

“ROC has made protecting the safety of children one of its core missions by ensuring age-appropriate access to online content and services. As regulatory bodies tighten restrictions and consumer awareness grows, we have seen a massive jump in demand for reliable and robust age estimation technologies. We take age estimation very seriously and see immense potential in the role of ethically developed solutions that safeguard minors while simultaneously protecting user privacy, empowering our clients to operate more securely, efficiently, and in full compliance.”

 – Blake Moore, COO, ROC

Age Estimation: Part of the ROC Identity Toolkit

ROC age estimation is part of its comprehensive multimodal identity toolkit, which includes face recognition, fingerprint recognition, iris recognition, and next-gen ABIS capabilities. This plays nicely with the company’s other primary Vision AI discipline: live video analytics encompassing real-time threat detection, gun detection, and situational intelligence. These combined capabilities, available on mobile and edge devices, are trusted by organizations across diverse industries to enhance security, identify users, and comply with regulatory requirements.

Navigate Your AI Supply Chain with NIST Standards

NIST is the leading performance benchmark for age estimation, face recognition, and other biometric standards. The recent NIST FATE report provides businesses looking for trusted age estimation solutions with independently verified data to compare the performance and provenance of their technology providers.

“Our customers understand the importance of knowing their AI supply chain to ensure the integrity of their systems. By choosing ROC’s American-made, military-grade solutions, they inoculate themselves from the ever-present threat of poison AI.”

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

With an unwavering commitment to homegrown innovation and ethics, ROC high-fidelity algorithms, derived from massive ethically sourced datasets and fully designed and developed in the USA, are proven to deliver exceptional accuracy with zero bias. Similar to our other products, ROC age estimation is designed to be minimally intrusive and considerate of fast-evolving industry regulations and individual privacy rights.

Making the world smarter, safer, and stronger.

ROC is the only American-made multimodal biometrics and computer vision provider, trusted by the U.S. military, law enforcement, and leading global FinTech brands. Their fully multimodal solutions deliver game-changing results with battle-tested reliability across NIST government testing, military applications, and 200M+ annual identity proofing transactions. 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. 

  • Face recognition
  • Fingerprint recognition
  • Iris recognition 
  • AI video analytics & threat detection 
  • Vehicle & license plate recognition

 

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ROC Welcomes Special Advisor for Partnerships Sachin Ratta to Drive Transformation in India and Southeast Asia https://roc.ai/2024/10/28/roc-welcomes-special-advisor-for-partnerships-sachin-ratta-to-drive-transformation-in-india-and-southeast-asia/ Mon, 28 Oct 2024 16:39:00 +0000 https://roc.ai/?p=17090 Move Is in Line with the Biometric Company’s Global Expansion […]

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Move Is in Line with the Biometric Company’s Global Expansion Plans to Tap into High-Growth Markets Through Innovative Use Cases

Denver, CO and New Delhi, India – ROC, the leading American computer vision and biometrics provider, names Sachin Ratta as Special Advisor, Partnerships, ROC India, to spearhead business development and strategic partnerships in India and Southeast Asia, pivotal regions in ROC’s ambitious global expansion plans.

“I’m eager to support ROC in this strategic role and help bring their world-class biometric solutions to India and the surrounding region. With ROC’s unmatched innovations and principled approach to AI, we can make a significant impact in digital identity, national eID, and digital payments. India is witnessing unprecedented technological growth and the potential for transformation in both the private and public sectors is immense.”

– Sachin Ratta, Special Advisor, Partnerships at ROC India

Ratta brings over 15 years of experience in biometrics and digital payments, with extensive knowledge of the FinTech, government, and enterprise sectors. In this role, Ratta will leverage his expertise and network to open up new markets for ROC, focusing on cutting-edge biometric technologies such as face, fingerprint, and palm recognition. He will advise the company on market strategies and partnerships across the Southeast Asian region.

“Sachin shares our vision to create a smarter and safer world through the ethical and responsible use of biometrics and Vision AI.His deep understanding of local markets and customer-centric approach to partnership building are invaluable as we look to forge meaningful partnerships across the region and deliver tailored solutions that resonate with local needs.”

– Susan Amick, VP of Business Development, Commercial Markets, ROC

India is a mature market for digital identity and payments, with the largest and most sophisticated biometric ID program in the world, Aadhaar, and a flourishing fintech industry. Ratta’s appointment will allow ROC to better cater to this market more effectively, blending localized knowledge and go-to-market strategies that take local market regulations and partnership dynamics into consideration. 

ROC’s suite of next-gen biometric and Vision AI solutions encompass face, fingerprint, iris, object recognition, and ABIS. They promise to deliver tangible improvements by simplifying identity verification, bolstering security measures, curbing fraud, and creating more satisfying customer experiences at airports, banks, public transport, and government services.

With Ratta’s guidance, ROC hopes to build trust and acquire new customers in the region. According to NIST, the company leads the global rankings in face recognition and fingerprint recognition:

  • #1 global face recognition provider in combined accuracy and efficiency. 
  • #1 global fingerprint recognition provider in combined accuracy and efficiency. 
  • #1 most accurate palm print algorithm in the West.

Making the world smarter, safer, and stronger.

ROC is the only American-made multimodal biometrics and computer vision provider, trusted by the U.S. military, law enforcement, and leading global FinTech brands. Their fully multimodal solutions deliver game-changing results with battle-tested reliability across NIST government testing, military applications, and 200M+ annual identity proofing transactions. 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. 

Face recognition | Fingerprint recognition | Iris recognition | AI video analytics & threat detection | Vehicle & license plate recognition

 

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ROC Expands Global ALPR Capabilities and Unlocks Comprehensive Vehicle Profiles https://roc.ai/2024/10/03/roc-expands-global-alpr-capabilities-and-unlocks-comprehensive-vehicle-profiles/ Thu, 03 Oct 2024 13:28:59 +0000 https://roc.ai/?p=16704 ROC SDK Now Supports Automatic License Plate Recognition (ALPR) in […]

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ROC SDK Now Supports Automatic License Plate Recognition (ALPR) in 69 Countries, Plus In-Depth Insights Such as Vehicle Make, Model, Color, and Year

Identify and Track Vehicles Worldwide

No matter where you operate or what industry you’re in, ROC SDK ensures that your ALPR capabilities are no longer limited by borders or basic plate information. Our latest update, ROC SDK 3.3, unlocks more in-depth insights from ALPR systems, delivering a comprehensive understanding of vehicles to enhance logistics, fleet management, traffic enforcement, and border security applications.

Unparalleled Global License Plate Coverage

ROC SDK expands ALPR support to 69 countries, giving your security systems and LPR readers the power to identify and track vehicles across diverse international landscapes.

Aland, Albania, Andorra, Armenia, Australia, Azerbaijan, Bahrain, Belarus, Bosnia, Brazil, Cambodia, Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Georgia, Gibraltar, Guernsey, Hong Kong, Iceland, Indonesia, Kazakhstan, Kyrgyzstan, Liechtenstein, Malaysia, Moldova, Monaco, Montenegro, Canada, Mexico, United States, New Zealand, North Macedonia, Norway, Palestine, Russia, San Marino, Serbia, Singapore, Switzerland, Tajikistan, Turkey, Ukraine, United Kingdom, Uzbekistan, and Vietnam.

Learn More

Go Beyond the Plate: Extract Detailed Vehicle Profiles*

In addition to license plate recognition, ROC SDK harnesses the latest advancements in Vision AI to unlock a treasure trove of useful data, such as:

  • Vehicle make
  • Vehicle model
  • Vehicle color
  • Vehicle year

*Vehicle profiles currently available for U.S.-market vehicles.

These powerful capabilities allow you to build a complete picture of each vehicle, enhancing your surveillance, management, and analytics capabilities. Imagine traffic management systems that not only track vehicle numbers but also analyze fleet composition in real-time. Or border control and law enforcement investigations using advanced pattern recognition to identify vehicles of interest, even those that may have switched plates.

With the rollout of ROC license plate recognition to 69 countries, our customers can now tap into a wealth of actionable insights from vehicle data on a global scale. This expansion significantly broadens the scope of data collection, empowering multinational businesses to make more informed decisions and optimize operations across increasingly connected global markets.

-Blake Moore, SVP of Product and Customer Success.

What is Automatic License Plate Recognition?

ALPR uses optical character recognition (OCR) to detect and read license plates on vehicles. An ALPR system consists of cameras that capture images of vehicles, extract the plate from the image, and convert the plate into text, enabling users such as fleet managers, law enforcement agencies, and parking facilities to automatically identify and track vehicles.

Fleet managers can utilize ALPR to:

  • Monitor vehicle usage and optimize fleet utilization
  • Detect unauthorized vehicle use
  • Enforce speed limits and optimize driver behavior

Law enforcement can deploy ALPR to:

  • Identify stolen vehicles
  • Detect vehicles associated with Amber alerts
  • Monitor traffic flow and issue tickets for toll and parking violations

Parking facilities benefit from ALPR through:

  • Automated ticketing and revenue management
  • Enhanced security through vehicle recognition at exits
  • Improved parking utilization analytics

How ALPR Works: Identifying Vehicles of Interest

In today’s hyper-connected world of global transport, logistics, and fluid borders, ALPR technology is revolutionizing vehicle identification and management. Advanced ALPR systems capture high-resolution images of license plates, even in challenging conditions such as low light, high speeds, or bad weather, processing them in milliseconds for real-time analysis.

Digitized plate information can be instantly matched against databases of vehicles of interest, from stolen vehicles to amber alerts and other customized watchlists. Powerful computer vision and enterprise search algorithms can process thousands of plate comparisons per second, tracking 100% of vehicles with 24/7 AI video intelligence to ensure that no vehicle of interest slips through unnoticed.

When a match is found, the ALPR system immediately alerts the appropriate personnel. This rapid response capability makes ALPR an invaluable tool for security, law enforcement, and smart city applications, enhancing public safety and streamlining investigations.

Embrace the Future of Vehicle Recognition

ROC’s expanded global ALPR and vehicle recognition tools are enabling organizations to go beyond the plate and harness a new dawn of data-driven insights. Find out how advanced object detection and Vision AI can help you transform your capabilities, streamline operations, and enhance decision-making processes.

Learn More

Making the world smarter, safer, and stronger.

ROC is the only American-made multimodal biometrics and computer vision provider, trusted by the U.S. military, law enforcement, and leading global FinTech brands. Their fully multimodal solutions deliver game-changing results with battle-tested reliability across NIST government testing, military applications, and 200M+ annual identity proofing transactions. 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.

  • Face recognition
  • Fingerprint recognition
  • Iris recognition 
  • AI video analytics & threat detection 
  • Vehicle & license plate recognition

 

FormWithSteps
Which capabilities are you interested in?

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