Build Video Analytics AI Agents with Skills

NVIDIA Developer · Advanced ·🤖 AI Agents & Automation ·4h ago
Organizations increasingly rely on video to capture critical information—yet extracting meaningful insights from massive amounts of footage remains a challenge. NVIDIA Metropolis Blueprint for video search and summarization (VSS) overcomes this hurdle by transforming hours of video into instantly searchable, actionable intelligence. With advanced indexing, scalable architecture, and real-time analytics, VSS helps enterprises monitor operations, detect trends, and make informed decisions faster than ever. VSS redefines video search, analysis, and reporting through next-generation multimodal intelligence and modular design. Now with NVIDIA NemoClaw, an open source stack that adds privacy and security controls to OpenClaw, you can deploy video agents using VSS skills. What you'll learn: - Build a video agent with VSS skills on Brev launchable and deploy a search profile for semantic fusion search with NemoClaw. - Use VSS skills with NemoClaw to integrate agents into Slack to search videos and review clips from chat. - Configure agents to generate real-time VLM-powered alerts from a live streaming video. - Understand the end‑to‑end pipeline to build agents and monitoring workflows with the OpenClaw framework.
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