The joint offering enables highly accurate, real-time facial recognition and video analytics at the edge, reducing infrastructure costs while increasing performance and deployment flexibility.

The new SAFR Powered by Anava ACAP solution embeds SAFR’s high-performance computer vision engine inside Axis cameras. By processing video in the camera instead of on centralised servers, organisations can significantly lower network bandwidth usage, reduce server hardware requirements, and achieve a lower total cost of ownership for large-scale deployments. Furthermore, by operating natively within the Axis ecosystem, this ACAP integration generates facial recognition events that flow seamlessly into existing Axis Camera Station VMS, as well as other popular video management systems. This ACAP solution gives customers greater flexibility in deploying SAFR's high performance facial recognition technology across their existing Axis footprint.

“By bringing our AI directly into Axis cameras, we are giving customers a smarter, leaner path to deploying facial recognition for security, access control, and business intelligence,” said Brad Donaldson, VP of Computer Vision, SAFR from Realnetworks. “Our collaboration with Anava and Axis allows system integrators and end users to take advantage of edge compute in a way that is both scalable and cost-effective.”

“The Anava and SAFR integration showcases the power of Artpec processing and the Acap platform to deliver advanced analytics directly at the edge,” said Drew Pacino, Business Development Manager at Axis Communications. “By reducing infrastructure complexity, this solution helps customers lower costs while unlocking greater operational efficiency and additional value from their Axis footprint."

The SAFR Powered by Anava ACAP solution transforms standard surveillance into a proactive safety net by enabling real-time recognition directly at the source. This capability moves beyond simple monitoring, providing a high-speed, scalable tool for bad actor detection and public safety that functions without the latency or high costs of traditional server-dependent systems. Furthermore, the solution has additional use cases such as barrier-less access control as well as occupancy and demographic analytics.

“By running SAFR software as an ACAP directly on Axis cameras, we’ve eliminated the need for costly, power-hungry onsite servers to process every stream," said Ryan Wager, CEO of Anava. "This edge-based approach provides enterprises with a lean, highly scalable architecture that delivers the industry’s most advanced bad actor detection while maintaining a privacy-preserving posture. By utilising Anonymous ID methodologies, we ensure that actionable intelligence is gathered without compromising individual data, all while driving massive infrastructure savings,” he added.

Designed to work within existing or new Axis installations, the solution can be combined with SAFR’s cloud or on-premises components when needed, enabling hybrid architectures that balance edge processing with centralised management, video storage, and advanced analytics.