Featuring real-time, automated, low-bias identification of opt-in staff and persons of interest
SAFR from RealNetworks, Inc. (NASDAQ: RNWK) today announced that its SAFR facial recognition system for live video is now integrated with the Geutebrück G-Core VMS (Video Management System). SAFR for Geutebrück is an AI layer that runs on top of the G-Core VMS which provides advanced video analytics that save time and increase efficiency of surveillance operations. The best-in-class integration features live video overlays that display event details, streamlined enrollment of individuals appearing on the Geutebrück VMS directly into the SAFR identity database, and custom alarms and notifications that notify security personnel of SAFR events directly within the VMS.
With so many cameras deployed, it’s impossible for security staff to monitor them effectively. SAFR matches faces appearing in live video feeds against watchlist images more effectively (99.87%), and with less bias, than humans. This enables security personnel to prioritize feeds that require review while providing them the key information they need to respond to persons of interest more quickly. SAFR also recognizes individuals wearing masks with remarkable accuracy (98.85%). The enrolled or reference image is displayed side by side with the face detected in the VMS video. Operators have instant access to the enrolled person’s face image to confirm match events.
“Manual monitoring is expensive and inefficient. AI can perform real-time, automated identification of persons of interest, and identify previous offenders the moment they return and before they cause new incidents,” said Brad Donaldson, VP, Computer Vision & GM, SAFR. “Our powerful API and plugin architecture makes industry leading integrations such as the one achieved with Geutebrück possible.”
The tight integration enables operators to automatically enroll faces into the SAFR database by simply drawing a marquee around a face in the Geutebrück G-Core VMS. Operators can use SAFR’s information overlays within the VMS video feeds, making it easy to quickly and accurately separate unknown people and potential threats from authorized personnel. System admins can easily configure which face recognition information is captured and recorded in the VMS. Additionally, operators have the ability to search Geutebrück video feeds for alerts using a person’s name, watchlist name, or ID class (threat, no concern, concern, stranger).
“As a world class provider of video security software solutions in mission critical environments, we are thrilled to offer SAFR’s superior technology for face recognition as part of a comprehensive solution. The seamless integration of SAFR’s AI-powered analytics together with Geutebrück’s ultra-robust video management software makes day-to-day operational tasks an effortless experience with the highest reliability,” comments Norbert Herzer, Product Manager, Geutebrück.