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In this episode with Chris Allen, CEO of Red5, we’ll explore how LLMs can be integrated into real-time video workflows to detect critical conditions within live streams for use cases like traffic monitoring and crowd congestion to forest fire detection, firearms recognition, and content moderation.

Chris will walk through the technical architecture, focusing on how Red5 Pro’s Brew API enables raw video frame extraction for analysis. We’ll discuss different approaches for these systems, including where WebRTC, RTSP, and MOQ fit in the pipeline, along with practical deployment considerations.

We’ll also look at real-world use case implementations and the evolving role of AI in real-time video systems for safety, automation, and platform integrity.