19 OCTOBER 2021minimal storage space. It is one the world's best facial recognition solutions," says Noriaki Takamura, APAC Vice president of RealNetworks. NIST's test for the efficacy of facial recognition software is considered the benchmark worldwide; it stringently checks for accuracy, performance, and bias thrice a year. And, in 2019, over the course of three months, SAFR only got better, displaying a thirty percent increase in speed. The solution's ability to carry out five hundred recognitions per second and a load balance of this massive size over multiple streams easily overtakes the current standard achieved in the industry.Gleaning data from one of the largest image databases in the world, SAFR has an extremely high detection accuracy of 99.87 percent and can even recognize individuals using face masks, with a staggering 99.5 percent accuracy. Moreover, with data from users across regions such as Africa and Southeast Asia, the software is optimized to detect various skin tones and complexions. "A defining edge that SAFR has over competitors is the solution's ability to precisely detect skin tone and user liveness," adds Takamura. The latest version of SAFR has further been engineered to passively detect liveness for biometric authentication solutions. A rise in cases of video conference hacking, spoofing attempts, and other similar cases of fraud have prompted companies to seek out solutions that can passively verify the authenticity of the user. Provided with a still image or a screengrab from a video, most facial recognition software fails to distinguish between a real face and a portrait. The SAFR algorithm completely circumvents this shortcoming by utilizing a unique, multi-faceted approach to analyzing texture and context to successfully detect static images and fabricated video clips. Unlike similar solutions that rely on projected light, infrared or specialized stereoscopic/depth-sensing cameras that are expensive, SAFR can be used to analyze video streams from internet protocol (IP) cameras embedded in access control terminals. To that end, RealNetworks recently entered a partnership with Axis Communications, a Swedish video surveillance and camera manufacturer, and has been able to implement SAFR Indie® into two camera models--the P3255-LVE and the Q1615 MK III. This integration saves the customer from investing in expensive edge computing hardware, thereby considerably reducing the total cost of ownership.An Incredibly Intelligent Video Surveillance SolutionSAFR is designed to reign supreme in the realms of access control, identity identification, and automated surveillance. And to elaborate on the same, Takamura recalls an SAFR is one of the fastest algorithms in terms of detection speed and requires only minimal storage space. It is one of the world's best facial recognition solutions
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