SAFR is free to all K-12 schools in the Unites States and Canada

Enhance school safety with state-of-the-art facial recognition

SAFR from RealNetworks is highly accurate facial recognition software powered by artificial intelligence. It works with existing IP cameras and readily available hardware to match faces in real-time. Schools can stay focused and better analyze potential threats such as expelled students, and those who pose a threat from within and outside the school.

“SAFR immediately proved to be an enormously valuable asset, helping to ensure that our open, urban campus stays secure.”

Paula Smith

Head of School, University Child Development School

Key Benefits

Enhanced School Safety Use existing IP-based cameras and readily available hardware to recognize staff, students, and visitors in real-time

World Class Accuracy Industry leading accuracy and performance in an AI solution available to schools for the first time and at no cost

Private and Secure Facial data and images are encrypted to ensure privacy. When used locally, no personal image facial data is ever transmitted over the internet

Multi-purpose Streamline secure access, simplify guest check-in, monitor halls and common areas, get instant alerts, or customize to your specific requirements

Efficient and Flexible Works with a single camera or an entire campus system. Built to scale at high performance and fast processing time, even in very low bandwidth rural areas

How it works

To deliver best-in-class accuracy and performance, SAFR uses the latest machine learning techniques to detect and differentiate individuals in complex surroundings with proven accuracy of 99.8%. It never stops learning and improving. It supports many cameras and detects multiple faces in each camera feed. Each face can be analyzed and rapidly matched to a database of enrolled faces. SAFR supports numerous secure access use cases where facial recognition can replace the use of an ID badge, securely automate entry to facilities, trigger notifications, and log events for analytics. SAFR works with off-the-shelf IP cameras and runs on mobile devices and readily available computers.

SAFR recognizes faces in real-world conditions

Scale – Recognizes faces at varying degrees and distances from cameras

Pose – Recognizes images in profile or at different angles

Occlusion – Identifies faces that are partially obscured

Sentiment – Detects facial expression from smiling to frowning

Makeup – Unique technology to identify painted or heavily made-up faces

Illumination – Detects and recognizes faces in varying lighting conditions

”The facial recognition solution provides parents and staff faster campus and building access, freeing up staff so they can devote more time to student needs.”

Paula Smith

Head of school, University Child Development School

SYSTEM REQUIREMENTS

 

  • 1-2 IP video cameras up to 4K resolution
  • SAFR Recognition Software: iMac Pro or Mac Pro* running  macOS Sierra 10.12+
  • SAFR Application: iMac or Mac running macOS Sierra 10.12+
  • SAFR App: iPad with iOS 11

*One Mac Pro is required for every 3 additional video cameras
(Support for Windows, Linux, and Android coming soon.)

SAFR is free to all K-12 schools in the Unites States and Canada

SAFR is free to all K-12 schools in the Unites States and Canada