RealNetworks and Digifort partner on SAFR facial recognition
21 March 2019 11:07 GMT

RealNetworks, a provider of digital media software and services announced today that it has partnered with Digifort, a leader in video management systems headquartered in Brazil with offices around the world, to make the SAFR facial recognition platform available to Digifort’s 28,000 customers in more than 130 countries worldwide.

Security teams are burdened with hours of monitoring, which requires extended periods of extreme concentration and attention to detail in order to identify unauthorized or unknown activity. With SAFR, security staff can be alerted in real time when persons of interest are recognized on any live camera feed, whether or not they’re in view of security personnel. This includes registered persons, threats, concerns, and VIPs in authorized or unauthorized areas.

“We are delighted to partner with Digifort to accelerate the availability of SAFR for security professionals working to keep cities, airports, train stations, schools, shops, and workspaces safe in Brazil, Latin America, and around the world,” said Jose Larrucea, Vice-President of RealNetworks Latin America. “Our deep market innovation is founded on SAFR’s unmatched performance for facial recognition in the real world, ease of deployment, and flexible business model.”

“It is a privilege to join forces with a partner like RealNetworks, which not only brings global capacity and technology experience but also provides local representation and support in Brazil and in other regional markets where Digifort operates,” commented Carlos Bonilha, Digifort’s CEO.

SAFR is an AI-powered facial recognition platform architected to economically scale with high performance and rapid processing to detect and match millions of faces in real time. It offers vigilant, 24-hour-per-day service, automating alerts and notifications as an event occurs, providing immediate insight and situational awareness. The SAFR platform supports flexible deployment – including on-premise, cloud, or hybrid – and can also characterize gender, age, and sentiment. This enables security professionals to not only identify people on watchlists, but also build greater awareness of demographics and traffic patterns in facilities across retail, health, telecom, education, government, and other commercial markets.

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