Rank One Computing Blog
A guide to automated face recognition 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).
As the capabilities of automated face recognition algorithms continue to skyrocket, so does the number of face recognition (FR) applications being deployed. Whether it is using FR to unlock a phone, create an investigative lead to help identify a violent criminal,...
In the Fall of 2020 the U.S. Department of Homeland Security (DHS) Science and Technology Directorate (S&T) hosted another Biometric Technology Rally to assess the capabilities of biometric algorithms for automated passenger identification in real-time screening...
Rank One was the only vendor to receive top marks in both accuracy and efficiency in the recent NIST FRVT Ongoing face recognition benchmark. Rank One also exhibited minimal racial biases.
The ROC SDK v1.22 delivers the largest set of technological improvements ever delivered in a ROC SDK version, including massive improvements in face recognition accuracy and speed, and newly added periocular and tattoo recognition algorithms.
The ROC SDK now comes equipped with a cutting edge periocular recognition algorithm, capable of detecting and identifying persons using only the eye and eyebrow regions of the face. The ROC Periocular algorithm is a direct response to the COVID-19 crisis, and the increased presence of facial masks.
The latest NIST FRVT 1:N report demonstrates the unique combination of accuracy and efficiency delivered by the ROC SDK as compared to industry peers.
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.
The ROC SDK version 1.20 delivers major accuracy improvements, alongside a wide range of other algorithmic and functionality enhancement.