Home » From Streams to Signals: How Wowza is Turning Live Video into Actionable Event Data

WEBINAR

From Streams to Signals: How Wowza is Turning Live Video into Actionable Event Data

Tuesday, April 28th at 10 AM MDT

Adding AI to live video shouldn’t mean rearchitecting your streaming pipeline. With Wowza’s newest release we are changing the game. In this developer-focused session, we’ll take you inside the framework: how it turns video streams into structured event signals, how it fits into your observability stack, and what it looks like in production.

In this webinar, you’ll learn:

  • How Wowza’s newest release extracts frames, routes them to AI models, and converts results into structured event signals, metadata, overlays, and alerts
  • How to connect your streams to existing observability and monitoring tooling so video-derived events flow alongside the rest of your operational data
  • How 4 verticals – DOT/transportation, public safety, industrial monitoring, and sports/entertainment – are seeing benefit from this new solution
  • How Bring Your Own Model (BYOM) support lets you plug in custom-trained models with zero extra integration work

Whether you’re looking to add event-driven intelligence to existing video workflows or just starting to evaluate AI inference in your streaming stack, this session will give you a clear picture of what’s possible. All registrants will receive links to companion tutorials and documentation to start building immediately.

Meet Your Experts

Michael Vitale

VP of Intelligence

Alexandr Chepurnoy

Technical Product Manager

Viki Bonzo

Chief Software Architect

FAQ

Answers to common questions about Wowza, streaming workflows, and platform capabilities.

Get a Demo    Talk to an Engineer

What is the meaning of video analytics?

Video analytics uses software to extract structured information from video, either about what is happening on screen or about how viewers consume a stream. In streaming workflows, video analytics turn raw camera feeds and live broadcasts into measurable data that operators, broadcasters, and developers can act on in real time.
  • Content analytics apply computer vision and AI models to detect objects, people, vehicles, anomalies, and events inside the video itself. Smart city operators use content analytics to track traffic flow, broadcasters use it to automatically tag highlights, and security teams use it to flag intrusions across large camera fleets.
  • Audience and performance analytics measure stream quality and viewer behavior through metrics such as startup time, rebuffer rate, average bitrate, concurrent viewers, and watch duration. Wowza Streaming Engine surfaces this data through built-in dashboards.

Is video analytics considered AI?

Video analytics are not, themselves, considered to be artificial intelligence (AI), but are increasingly becoming integrated and foundational elements behind AI capabilities. The term “video analytics” can cover both AI-driven and rule-based approaches. Traditional video analytics relied on motion detection, pixel-change thresholds, and similar rule-based logic. Modern video analytics depends on computer vision, machine learning, and deep neural networks trained to recognize specific objects, behaviors, scenes, and patterns inside a video stream.