Haivision Systems Inc, a leading global provider of mission-critical, real-time video networking and visual collaboration solutions, announced the latest developments for the SRT open-source video streaming protocol at IBC2022.
At the show, Haivision announced the release of SRT 1.5 with new features to meet the rapidly growing need for decentralized remote workflows. The company also announced that Canon has joined the SRT Alliance, a collaborative community of over 575 broadcast industry leaders and developers striving to achieve lower latency video transport over the internet by continuously improving the SRT transport protocol and technology stack.
The latest member of the SRT Alliance, Canon, will leverage SRT to enhance the interoperability of its video broadcast equipment, devices, and cloud services, which are widely used for streaming and live broadcasting, and make content distribution more convenient for its customers.
“With the increasing demand for remote production, there is a growing need for efficient, high-quality, low latency delivery in network workflows,” said Hiroto Okawara, Unit Executive, Image Solutions Business Unit, Canon Inc. “By joining the SRT Alliance and strengthening our systems by linking SRT protocol-compliant devices and cloud services with Canon’s video equipment, we believe we can respond to customer needs in creating and delivering low latency, high-quality, and secure images.”
Originally developed by Haivision, SRT (Secure Reliable Transport) is an Emmy ® award-winning open-source video transport protocol that optimizes real-time streaming across unpredictable networks. The new features implemented in SRT 1.5 are designed to enhance the transport of live video over the public internet and improve decentralized workflows for broadcast production, remote contribution, and content distribution.
New features and improvements in SRT 1.5 include:
— Connection Bonding bringing hitless failover technology to the SRT protocol, increasing the reliability of a live video stream by routing it over more than one network path, and preventing disruption in the event of network failure.
— New Implementation of the Receiver Buffer for improved memory management and packet reading. The enhanced implementation also improves latency management and the handling of drop requests, providing even greater reliability when streaming over any network.
— Packet Pacing and Live Congestion Control Improvements for prioritizing the order of sent packets in order to help avoid congestion if there are changes to the source bitrate or significant network bandwidth fluctuations.