RealNetworks Unveils New Biometric App for AXIS Cameras

RealNetworks has released a new version of its SAFR facial recognition solution that is compatible with the AXIS Camera Application Platform (ACAP). The new app component has been dubbed SAFR Inside, which will run on AXIS’ latest Q1615 Mk III network camera.

According to RealNetworks, SAFR Inside will dramatically lower deployment costs for customers because it will reduce traffic and the video processing demands on an organization’s servers. Cameras equipped with SAFR inside can be paired with the SAFR Cloud Platform, which negates the need for an on-premises server at each individual location.

“Our customers are always looking for ways to reduce the total cost of ownership when deploying SAFR,” said SAFR Product Management Senior Director Eric Hess. “By bringing our AI into the camera, we are delivering lower costs and more flexible deployment options for our end users.” 

RealNetworks went on to note that SAFR Inside includes several features that will help organizations guard against the spread of COVID-19. For example, the app will send an alert of it detects that someone is wearing (or not wearing) a protective mask. It can also be used to enable face-based access control that can identify an employee if that person’s face is covered. 

“SAFR Inside is the first Axis Application Development Partner (ADP) application to take full advantage of the new AI capabilities of our AXIS Camera Application Platform,” said Axis Communications Business Development Senior Manager Robert Muehlbauer. “We see many use cases, including integrated solutions that utilize our IP audio and intercom technologies.”

SAFR Inside will be included with a standard SAFR license, which means that existing SAFR customers will receive the app at no extra charge. The app itself will debut in late July.

In other news, RealNetworks recently released a pair of new video products that use the SAFR platform to identify celebrities. The company has also integrated an AR name tag system into the facial recognition platform.

–

June 18, 2020 – by Eric Weiss