Visionular

What‘s AuroraLive?

The AuroraLive Video Service is a fully managed live streaming solution from Visionular Inc that provides high-definition and uninterrupted live video services to content providers.
AuroraLive is easy to set up, delivers video with low latency, and supports a high number of concurrent viewers.

Benefits

Quickly get to market

• Set up new live video streams in minutes.
• Powerful video infrastructure accessible via simple API.
• Accepts RTMP/RTMPS/SRT “in” for live broadcasts, and HLS/LL-HLS/WebRTC/RTMP for output streams.

Low Latency

• The live streaming latency is less than 5 seconds “glass” to “glass”.
• Live streams are distributed across a global CDN network optimized for low latency.

Player-friendly

• Our streaming technology leverages an open standard, so you're not locked into using a specific player.
• Works great on Web, Android, and native iOS players, available on all Apple devices.
• Use any HLS, LL-HLS, and WebRTC compatible player you want.

Optimized for Live Streaming

• Pre-configured ABR playback on different devices and networks.
• Identical visual quality to other solutions with 20% fewer bits for smoother playback.
• Uses Visionular’s AI-driven video codecs (Aurora1, Aurora4, Aurora5) to transcode the live streams.
• Auto-scales to deliver streams to millions of concurrent viewers.

Features

• HLS live streaming

  HLS (HTTP Live Streaming) is a streaming media technology used to transport live video streams over HTTP protocol. Generally, the latency of HLS is between several seconds and tens of seconds, depending on the network conditions and configuration.

• Low-latency live streaming

  Bulit with LL-HLS, low-latency live streaming enables you to achieve as low as 5 seconds of latency on your live stream.

• WHEP live streaming (WebRTC)

  WHEP stands for WebRTC-HTTP Egress Protocol, which enables low-latency viewing of browser-based streaming content and has a latency as low as 2 seconds on your live stream.

• Auto-Record Live Streams to AWS S3

  You can configure AuroraLive to record live video to an Amazon S3 bucket. Live video streams are saved as video files, for use as Video-On-Demand (VOD).

• Timed Metadata
  Use our simple REST APIs to inject metadata into a stream and an event-based interface within the player to retrieve the metadata for clients to build synchronized components (such as polls and live sports scores).

• Supports RTMP/RTMPS/SRT streaming
  RTMP is an industry standard for transmitting video over a network. RTMPS is the secure version of RTMP, running over TLS. SRT is an open-source video transport protocol and technology stack that optimizes video streaming performance across unpredictable networks.

• Multi-resolution for ABR support
  AuroraLive converts the incoming live stream to a range of video resolutions and bitrates. The ABR stream provides an improved quality of experience and quality of service across different network conditions.

• DVR mode
  Allow your users to seek back to the beginning of the live stream whenever they want in your player.

• Event Notifications
  AuroraLive supports event notifications, to let your application know when things happen asynchronously, outside of an API request cycle.

• Input Health dashboard
  The Live Stream Input Health dashboard provides visibility on how AuroraLive receives your live stream from the encoder.

• Secure playback
  You can use playback authorization to restrict your streams. When playback authorization is enabled for a live stream, only playback requests with valid authorization tokens will be served the live stream playlist.

• Supports Watermark or Logo Insertion
  A watermark is an image overlaid on a video. You can easily add watermarks to protect your content and promote brand awareness.

• Subtitles and Closed Captions
  Make your content more accessible and reach a global audience with subtitles and closed captions. Send us subtitles or caption files and we’ll automatically associate and include them with the video stream.

• Auto-generated captions
  Uses speech recognition technology and machine learning to automatically generate captions for your videos.

• Live simulcasting
  Also known as multi-streaming or restreaming, or RTMP passthrough. This feature lets users forward a live stream to social networks by simply adding a Simulcast Target.