The VisualOn Remote Lab™ is the industry’s first ultra-low latency testing and debugging suite that can pinpoint and fix video delivery issues – quickly and accurately. You’ve never experienced a remote video testing lab like this before.
Testing and Debugging Challenges
Deploying and maintaining high-quality video services can be frustrating and cumbersome. It requires significant testing and troubleshooting to discover what is causing playback issues before you can even start to debug and qualify devices and streams. Challenges to overcome include:
Getting the necessary stream, devices and video experts together in the same place can be expensive and time consuming
Streams can be geo-blocked and there are export restrictions on certain devices in some countries.
Today’s virtualization labs lack the ability to properly recreate conditions needed to diagnose video quality problems at high frame rates.
Why Remote Lab Is Better
Within an ultra-low latency environment, Remote Lab resolves the pain points of managing disparate devices, teams and content. Streaming service providers can ensure a consistent quality of service (QoS) standard across viewing devices.
Need for speed
30+ frames per second (fps) remote control means playback issues are identified accurately and efficiently.
Supports a broad spectrum of video platforms :
TVOS and Android devices, set-top boxes, smart TVs, and other streaming devices.
Machine learning-based automation tools pinpoint the exact moment an issue occurs, and can flag potential problems before they happen through the analytics dashboard.
Reduces costs and headaches:
No need for video experts and the right devices to be in the same place
Remote Testing & Debugging Support: Bring together disparate teams, devices and streams to find and resolve playback issues at high frame rates
In-House R&D Center: Leverage remote resources to develop and test new services – cost effectively
Remote Control Room: Set up separate lab instances in different locations to monitor from a central control room