Unpacking AI: How Deep Learning Algorithms are Made
The hottest buzzword of 2023, ‘artificial intelligence,’ persists as an extremely broad term with near-infinite interpretations and possibilities. Despite the attention, most AI algorithm development processes remain shrouded in mystery. At Rank One Computing...
Looking Back at Boston Marathon Bombing: A Decade of Face Recognition Advancement
Ten years ago on April 15th, 2013, the city of Boston was struck by an unforgettable act of terror. Two bombs exploded near the finish line of the Boston Marathon, killing three people and forever changing the lives of so many more. A decade later, Rank One Computing...
The Pros and Cons of Face Recognition
The capabilities of face recognition algorithms have skyrocketed the last five years. With substantial gains comes substantial responsibility – and so now we must reexamine the role face recognition can play in the future of biometrics and identity technology, and...
ROC.ai Dominates Latest NIST Face Recognition Benchmarks
Analysis of Face Recognition Vendor Test Results – Our latest release of the ROC SDK v2.4 delivers another substantial set of improvements, demonstrated by its exceptional performance in the February 2nd, 2023 National Institute of Standards and Technology (NIST) Face...
ROC AI’s Fingerprint Algorithms Achieve Best-in-Class Accuracy
Fingerprint capabilities delivered in ROC SDK v2.4 lead world in accuracy and efficiency, as demonstrated by the statistical results presented in this article.
ROC SDK v2.3 Delivers More Algorithm Improvements
ROC SDK version 2.3 continues to demonstrate the power of our AI/ML computer development advancements with significant improvements to the following algorithms: Liveness / Presentation Attack Detection (PAD) Tattoo Recognition Facial Analytics License Plate Detection...
Rank One Places #1 in the World in Latest NIST FRVT Quality Benchmark
From the FRVT Quality website leaderboard Rank One is the best overall algorithm at filtering out low quality samples while maintaining a low False Non-Match Rate (FNMR) for the face recognition algorithm
Rank One Computing Ranks #1 in Latest NIST FRVT for Combined Accuracy and Efficiency
ROC’s SDK v2.2 is now the single-highest performing vendor of all U.S. FR algorithm providers in the latest National Institute of Standards and Technology (NIST) Face Recognition Vendor Test (FRVT). Specifically, v2.2 outranks all others with both top tier accuracy and efficiency in both the 1:1 and 1:N series.
ROC SDK Version 2.0: A New Generation of Visual Analytics Algorithms
ROC SDK version 2.0 delivers both substantial face recognition improvements and a completely new feature set of computer vision and machine learning capabilities. Specifically, the SDK now supports detection of a wide range of objects and text recognition on a wide variety of challenging images (e.g., license plates in the wild).
On Veteran’s Day, Rank One Computing (ROC) advocates to strengthen the Buy American Act to incorporate sensitive IT systems
Honoring our Veterans who protect our Nation’s security, ROC is raising awareness about the importance of securing the overall supply chain for our nation’s most sensitive IT systems. As the most trusted provider of facial recognition algorithms to U.S. military, law...