Issue link: https://hub.radisys.com/i/1188450
3 www.radisys.com RADISYS SOLUTION BRIEF | Evolve Two-Factor Authentication with In-Network Biometric Authentication Passwords are… Biometric Answers Vulnerable to forging, guessing, or forgetting Face/voice cannot be duplicated, forged, or forgotten Changed frequently to mitigate unknown theft No changes required due to unique traits Supposed to be different for every service Inherent attributes used across any connected service Complex and long, causing confusion or fatigue Typing long strings replaced with speaking or looking speaker verification capabilities. Engage Media Analytics solution enables in-network computer vision and voice recognition in a scalable and cost effective manner. Rather than relying on inherently unreliable capabilities of endpoints, service providers can use their existing communication network infrastructure to process high volumes of media streams that can enable cost effective and scalable services for enterprises and consumers. Radisys Engage Media Analytics Solution The Engage Media Analytics solution leverages the industry-leading Engage Media Server platform currently deployed in 200+ global fixed and mobile networks. Within a single platform Radisys enables voice and video processing for real-time communication applications, such as VoIP, UC and VoLTE, audio and video mixing, speech recognition, and other Media Analytics features like biometric authentication. The platform provides rich APIs to enable developers to add these capabilities easily to applications and business workflows. The Engage Media Analytics solution provides the following benefits: • On premise support for local processing of media content that has security or privacy requirements, eliminating the need to send sensitive content offsite to cloud-based processing solutions. • Built in computer vision capabilities enable applications to process high volumes of media streams from cameras to support facial recognition on some streams and object or motion detection on different streams. • High density and scalability, leveraging best-in-class hardware-assist technology to reduce the footprint and cost of supporting these features in public or private clouds. • In-network processing allows inexpensive video cameras to forward video streams for processing rather than requiring video cameras to support onboard complex compute functions. This reduces the burden, cost and complexity of updates to take advantage of continuous improvements in media analytics algorithms by eliminating the need for firmware updates to dozens, hundreds, or thousands of cameras. • Enabled by an easy software upgrade to an existing Engage Media Server.