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  • Open Edge Platform Overview
  • Metro
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Section Navigation

  • Metro SDK Manager
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Samples

  • Agentic Predictive Maintenance Pipeline
    • Get Started
      • System Requirements
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  • Agentic Smart Community
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      • System Requirements
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      • Add Swap Space
      • Register a New Use Case
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      • MCP Webhook Event API
      • Dashboard API
      • Videostream Analytics HTTP API
    • Release Notes
  • Enterprise Data Intelligence
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  • Smart Traffic Intersection Agent
    • Get Started
      • System Requirements
      • Build from Source
      • Deploy with Helm
      • Deploy with Trusted Compute using Helm
      • Deploy with Trusted Compute
    • API Reference
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  • Smart Route Planning Agent
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      • System Requirements
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      • Environment Variables
      • Deploy with Helm
    • Release Notes
  • Smart Parking
    • Get Started
      • System Requirements
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    • How-to Guides
      • Customize the Application
      • Generate and Deploy Offline Package
      • Use GPU for Inference
      • Use NPU for Inference
      • View Open Telemetry Data
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      • Benchmark Performance
      • Demonstrating NPU Value: GPU and NPU Stream Density Benchmark
    • Troubleshooting
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  • Smart Intersection
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      • System Requirements
      • Deploy with Helm
      • Deploy with Trusted Compute using Helm
      • Deploy with Trusted Compute
    • How It Works
    • How to use GPU for inference
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    • RTSP Stream Setup
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    • Troubleshooting
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  • Loitering Detection
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      • System Requirements
      • Deploy with Helm
    • How-to Guides
      • Customize the Application
      • Generate and Deploy Offline Package
      • Use GPU for Inference
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    • Troubleshooting
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  • Image-based Video Search
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      • System Requirements
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    • How It Works
    • How to use GPU for inference
    • How to use NPU for inference
    • Troubleshooting
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  • Visual Search and Q&A
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      • System Requirements
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    • Tutorials
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  • Sensor Fusion for Traffic Management
    • Post-Fusion
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        • Prerequisites
        • System Requirements
      • How it Works
      • Advanced user guide
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    • Intermediate Fusion
      • Get Started
      • Prerequisites
      • Testing
      • Training
        • Installation
        • Convert NVIDIA Checkpoint
    • Troubleshooting
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      • Release Notes 2025
  • Smart NVR
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      • Deploy with Helm
      • Advanced Configuration
    • How to Use Smart NVR
    • Development Guide
    • Integrate Scenescape with Smart NVR
    • Multiple SceneScape Deployment
    • API Reference
    • Troubleshooting
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      • Release Notes 2025
  • Video Processing for NVR
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    • How It Works
    • Release Notes
  • Live Video Search
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      • System Requirements
      • Build from Source
      • Deploy with Helm* Chart
    • How It Works
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  • Live Video Alert Agent
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      • System Requirements
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      • Deploy with Helm
    • How It Works
    • API Reference
    • Known Issues
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  • Live Video Captioning
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      • System Requirements
      • Model Preparation
      • Build from Source
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      • Setup Simulated RTSP Stream
      • Testing and Coverage
    • Quick Start: Live Video Captioning
    • How-to Guides
      • Enable Alert Mode
      • Configure Object Detection Pipeline
    • How it Works
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  • Live Video Captioning RAG
    • Quick Start Guide
    • Get Started
      • System Requirements
      • Build from Source
      • Deploy with Helm Chart
      • Testing and Coverage
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  • VMS Adapter Plugin
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      • Tutorial: LVC with NX Witness
      • Tutorial: Loitering Detection with NX Witness
      • Run Simultaneous Applications
      • TLS and Certificates
    • API Reference
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  • Video Search and Summarization

Software Development

  • OpenVINO Toolkit
  • OpenVINO Model Server
  • DL Streamer
  • DL Streamer Pipeline Server

Tools

  • Geti™ Software
  • Visual Pipeline and Platform Evaluation Tool
  • Scenescape

Guides

  • Migrate from Nvidia
  • Achieve High Performance <
  • Improve Security
  • Customize Visual AI Kit

Blueprints

  • Blueprint: Critical Infrastructure Predictive Maintenance
    • Vision AI Pipeline
    • Multimodal Pipeline
  • Blueprint: Smart Buildings

---------------

  • Intel® Edge System Qualification
  • Get Help or Contribute
  • Metro AI Suite
  • Live Video Search

Live Video Search#

GitHub Readme

Live Video Search is a Metro AI Suite sample that adapts the Visual Search and Summarization (VSS) pipeline for semantic search on live Frigate streams. The application ingests live camera streams, indexes video segments with embeddings and timestamped camera metadata, and enables you to select cameras, time ranges, and free-text queries. You can retrieve ranked, playable clips with confidence scores and view live system metrics.

Key Features#

  • Live semantic search over active camera streams.

  • Time‑range filtering from either the UI or query parsing (for example, “person seen in last 5 minutes”).

  • Event‑driven ingestion using Smart NVR + Frigate for clip generation.

  • Unified UI where VSS Search results appear alongside Smart NVR live context.

Core Components#

Live Video Search combines two existing stacks:

  • Smart NVR (Metro AI Suite)

    • Frigate NVR ingests live camera streams and emits MQTT events.

    • NVR Event Router brokers event metadata and clip references.

    • Reference UI for Smart NVR management.

    • See Smart NVR Documentation

  • VSS Search Mode (Edge AI Libraries sample app)

    • Search‑MS + Multimodal DataPrep + Vector Retriever + VDMS or Milvus VectorDB + Pipeline Manager.

    • VSS UI for semantic queries and clip playback.

    • See Video Search and Summarization Documentation

Use Cases#

  • Operations teams who need to locate recent events across multiple cameras quickly.

  • Edge deployments where bandwidth or latency constraints prevent cloud‑first analytics.

  • Safety and compliance scenarios requiring rapid retrieval of recent footage.

Key Behaviors#

  • Smart NVR‑initiated ingestion sends selected clips directly to VSS Search.

  • Time‑range filters reduce search scope and improve relevance.

  • Metrics Manager provides real-time system and DataPrep throughput metrics in the VSS UI.

Documentation#

  • Get Started

    • Get Started: Deploy the full stack locally.

    • System Requirements: Hardware and software prerequisites.

  • How It Works

    • Architecture: End‑to‑end architecture and data flow.

  • Deployment

    • Build from Source: Build the required images.

    • Deploy with Helm: Deploy LVS on Kubernetes using Helm profiles.

  • Usage & API

    • API Reference: Key endpoints and references.

  • Release & Support

    • Release Notes: Updates and fixes.

On this page
  • Key Features
  • Core Components
  • Use Cases
  • Key Behaviors
  • Documentation

This Page

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