Introducing the ROC Web API
The ROC Web API enables developers to host an API server on their own hardware, and allows numerous client devices to easily connect and send facial images for processing server-side from an array of languages (C++, C#, Java, JavaScript, Objective-C, PHP, Python, and Ruby).
ROC SDK v1.22 delivers massive accuracy and efficiency improvements
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. To learn more read...
ROC SDK v1.22 delivers massive accuracy and efficiency improvements
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.
Rank One Computing releases next-generation periocular recognition algorithm
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...
Rank One’s next-generation periocular recognition algorithm
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.
ROC SDK v1.20 delivers top-tier accuracy and unparalleled efficiency in latest NIST 1:N report
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. To learn more read our latest blog post.
ROC SDK v1.20 delivers top-tier accuracy and unparalleled efficiency in latest NIST 1:N report
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.
Rank One Computing outpaces industry in memory requirements
For the first time in the January 6th, 2020 report, the National Institute of Standards and Technology (NIST) Face Recognition Vendor Test (FRVT) “Ongoing” benchmark is reporting the peak memory usage of each face recognition algorithm. This measurement, which...
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.
Rank One participates in face recognition policy panel in Washington, D.C.
On Dec. 5, the Information Technology and Innovation Foundation (ITIF) hosted a briefing in Washington, D.C., exploring emerging uses of facial recognition in the private sector. The discussion – moderated by Daniel Castro, vice president of ITIF and director of...