Intelligent Computer Vision

Top-ranked Face, Object, & Text Recognition solutions...Lightning-fast, AI/ML-powered, Made in the USA
ROC's AI/ML SDK 2.XStay aware with live alerting from ROC Watch

The ROC Difference

Faster and more accurate

  • More than 99.4% accurate (NIST FRVT)
  • Ranked #1 in algorithm speed and efficiency
  • Detect persons, vehicles, text, and weapons in the same video feed
  • Process videos in real-time on mobile devices

Real-world Performance

  • Host millions of identities on a mobile device
  • Identify faces and objects without ideal camera angles or lighting
  • Proven FR accuracy with masks and sun glasses
  • Hundreds of successful integrations

Ethical & Trustworthy

  • American Nascency: 100% Made-in-America
  • Highest ethical and privacy standards (Code of Ethics)
  • Trusted by DoD, FBI, and Fortune 500 companies

Easy Integration

  • Free access to development SDK
  • OS and platform agnostic
  • Extensive documentation and sample code
  • Deploy in the cloud, on-prem, or on a mobile device
  • Works with existing camera and VMS systems
  • Be up and running in minutes
Don’t Just Take It From Us
Rank One’s algorithms are deployed in mission-critical applications across both the public and private sectors.
US Dept of Defense Agencies


Multi-National Financial Institutions

Law Enforcement Agencies


Integrator Customers


Facial Verifications Per Year

Stay Tuned

Learn more about AI/ML-powered computer vision from experts in the field.

Understanding the Importance of Peak Memory Usage

Understanding the Importance of Peak Memory Usage

When building mobile or embedded face recognition applications, there is a small amount of computer memory available. Thus, only face recognition algorithms that require a limited amount of RAM can be used in mobile and embedded applications. This article discusses these concepts and highlights how many vendors develop algorithms that are not usable in mobile and embedded applications.

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