Rank One Computing announces it has released Version 1.19 of its facial recognition SDK, which includes across-the-board accuracy improvements.
Online PR News – 22-July-2019 – Denver, Colorado – Monday, July 22, 2019 Rank One Computing announces it has released Version 1.19 of its facial recognition SDK, which includes across-the-board accuracy improvements, as well as improved facial clustering, options for homomorphic encrypted matching and GPU accelerated enrollment, and improved API features for video processing.
The industry-leading facial recognition provider also disclosed additional detail on this new release:
Improved Facial Recognition Accuracy - across-the-board accuracy improvements, particularly on unconstrained imagery and young and old people.
Improved Facial Clustering - Coupled with the speed of the SDK, users can now accurately and rapidly cluster identities across large datasets.
GPU-accelerated Template Generation - In addition to Rank One's industry-leading enrollment speed on CPUs, users can now optionally perform enrollment on a GPU and achieve up to a 3x speed up.
Homomorphic Encrypted Matching - Users can now encrypt templates and perform matching in the encrypted space, without the template ever being decrypted, via Rank One's new patent-pending method. In turn, higher levels of security and privacy in biometric transactions can be enabled between trusted and unknown parties.
Facial Hair Estimation - Rank One's facial analytics algorithms now detect the presence and thickness of beard and mustache hair.
Video Tracking API Enhancements - Another round of improvements has been delivered to API tools for tracking and identifying faces in video.
For additional information, please see www.rankone.io.