On the December 10, 2025 episode of WebRTC Live, host Arin Sime welcomed Chris Allen, CEO of Red5, to 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 walks through the technical architecture, focusing on how Red5 Pro’s Brew API enables raw video frame extraction for analysis. He discusses different approaches for these systems, including where WebRTC, RTSP, and MOQ fit in the pipeline, along with practical deployment considerations.
They 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.
The episode also features Arin Sime and Tsahi Level-Levi’s Monthly WebRTC Industry Chat. This month, they discussed how to architect a WebRTC solution that scales a group call into a large-audience livestream, covering the main design patterns and considerations for these applications. Watch WebRTC Architecture for Group-to-Livestream Scenarios.
Watch Episode 108: Using AI for Object Detection in Real-Time Video
Episode highlights and key insights to follow.
Up Next! WebRTC Live #109
Agentic Workflows That Work in Production
with Alberto González and Mariana López, CTO and COO of WebRTC.ventures and AgilityFeat
Wednesday, January 14, 2026 at 12:30 pm Eastern
