SAFR Facial Recognition Integrated With Geutebrück VMS

Operators can automatically enroll faces into the SAFR database by drawing a marquee around a face in the Geutebrück G-Core VMS.

SEATTLE — SAFR from RealNetworks (NASDAQ: RNWK) announces its SAFR facial recognition system for live video is now integrated with the Geutebrück G-Core VMS.

SAFR for Geutebrück is described as 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 foperations. The 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.

SAFR matches faces appearing in live video feeds against watch list images more effectively (99.87%), and with less bias, than humans, according to the announcement.  This is said to enable 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 claims to also recognize individuals wearing masks with 98.85% accuracy. 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,” says Brad Donaldson, vice president, Computer Vision & GM, SAFR. “Our powerful API and plugin architecture makes industry leading integrations such as the one achieved with Geutebrück possible.”

The integration enables operators to automatically enroll faces into the SAFR database by 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, according to the announcement.

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, watch list name, or ID class (threat, no concern, concern, stranger).

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