SAFR is an exceptionally accurate AI-powered facial recognition system that provides a high level of visibility and situational awareness for security professionals. You can easily integrate access control peripherals such as cameras, door locks, or alert systems in order to manage access to a location based on people’s identities. SAFR runs on a variety of operating systems, including Windows, macOS, Linux, iOS, and Android.

SAFR Inside is an embedded version of SAFR’s Video Recognition Gateway (VIRGO) service which performs video analysis and face detection directly inside supported cameras. Simply install SAFR Inside onto a supported camera model (AXIS Q1615 Mk III or AXIS P3255-LVE), then connectt that camera to a SAFR Server (whether on-premise or in the cloud) to perform real-time face recognition.

Warning: AXIS P3255-LVE requires a large power source: Power over Ethernet (PoE) class 4 or higher.

SAFR Inside gives you the ability to leverage powerful computer vision features with dramatic reductions in Total Cost of Ownership (TCO) compared to traditional deployments. By performing key pieces of the image processing (namely face detection and image cropping) directly on the AXIS camera, bandwidth use and other associated costs are dramatically reduced, thus allowing you to deploy facial recognition with less powerful and/or fewer servers.

Specifically, SAFR Inside’s video feeds are able to do the following:

See the following topics for additional information about SAFR Inside: