SAFR® from RealNetworks Launches Version 3.0 Featuring Enhanced COVID-19 Response Features and a New High Sensitivity Face Detector

Rhea-AI Summary

RealNetworks (NASDAQ: RNWK) has launched SAFR 3.0, enhancing face detection and recognition accuracy for masked and unmasked individuals. This update achieves an impressive 95.1% detection rate and 98.85% recognition accuracy for faces wearing PPE masks in surveillance videos. Furthermore, a new mask detection dashboard allows customers to track mask usage by age, gender, and location. NTT DOCOMO, a partner in the Japanese market, anticipates improved safety and security solutions using SAFR's latest functionalities.

Positive

• Achieved a 95.1% detection rate and 98.85% recognition accuracy for faces with PPE masks.
• Introduced a mask detection dashboard to track mask usage effectively.
• Partnership with NTT DOCOMO to enhance security solutions in Japan.

Negative

• None.

Sets a new standard for face detection when wearing PPE

SEATTLE, Oct. 28, 2020 (GLOBE NEWSWIRE) -- SAFR from RealNetworks, Inc. (NASDAQ: RNWK) today announced improved face detection and recognition accuracy for both masked and unmasked faces with the release of SAFR 3.0. Available now, SAFR’s 3.0 release introduces a new default high sensitivity face detector. Customers running the high sensitivity face detector will see a 95.1% detection rate and 98.85% recognition accuracy rate for faces covered by PPE face masks — including non-surgical fabric masks of varying patterns — in surveillance-style videos of faces in motion. Detection efficiency has also been improved when multiple faces are simultaneously in the field of view to ensure detection and recognition speeds remain high.

“With the 3.0 release, SAFR continues its track record of maintaining high-accuracy under challenging real-world conditions, including the new norms brought by this global pandemic. SAFR’s accuracy improvements will enable customers to deploy face-based contactless secure access without requiring removal of PPE and ensure persons of interest and registered VIPs don’t go unrecognized while wearing face masks,” said Brad Donaldson, VP Computer Vision, SAFR.

SAFR 3.0 also includes a new mask detection dashboard that enables customers to anonymously track mask usage rates and view and filter by age, gender, location, and time. This dashboard joins the existing occupancy and traversal dashboards available in the SAFR web console.

“NTT DOCOMO provides facial recognition service with RealNetworks to the Japanese market. With SAFR’s new functionalities, and in particular the new mask detection feature, we believe that we can enhance the safety and security of people and organizations. We will continue to work with various partners to create new value-added solutions to help solve social issues,” said Hisakazu Tsuboya, Senior Vice President, General Manager of 5G & IoT Business Department, NTT DOCOMO, INC.

Learn more about the 3.0 release at https://safr.com/release-notes/.

About SAFR
SAFR (www.safr.com) is the world’s foremost facial recognition platform for live video intelligence. It taps the power of AI to help the world get back to work. Whether it’s used for occupancy counting, face mask detection, or touchless entry control, SAFR can be deployed on premises, in the cloud, or with a VMS. SAFR enhances security, heightens situational awareness, and delivers insights that improve operational efficiency and protect the health and safety of people everywhere.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/f20caff2-d570-4f50-89b1-2fd7993061c1

FAQ

What are the new features of SAFR 3.0 released by RealNetworks?

SAFR 3.0 features improved face detection and recognition accuracy, achieving a 95.1% detection rate and 98.85% recognition accuracy for faces wearing PPE masks, along with a new mask detection dashboard.

How does SAFR's mask detection dashboard work?

The mask detection dashboard allows customers to anonymously track mask usage rates by filtering data based on age, gender, location, and time.

Which company partnered with RealNetworks to enhance facial recognition services?

NTT DOCOMO has partnered with RealNetworks to provide facial recognition services in Japan, utilizing SAFR's new functionalities.

What is the impact of SAFR 3.0 on security and access control?

SAFR 3.0 enhances secure access by enabling face-based recognition without removing PPE, ensuring registered individuals are recognized even with masks on.

What is the significance of the 95.1% detection rate achieved by SAFR 3.0?

The 95.1% detection rate indicates SAFR 3.0's high efficiency in identifying faces in motion, even when masked, improving security measures during the pandemic.