Skip to main content
Ctrl+K

Open Edge Platform

    • Get Started
    • Metro AI Suite
    • Manufacturing AI Suite
    • Retail AI Suite
    • Robotics AI Suite
    • Education AI Suite
    • Health and Life Sciences AI Suite
    • Edge AI Libraries
    • Edge Microvisor Toolkit
    • Edge Manageability Framework
    • OS Image Composer
  • Get Started
  • Metro AI Suite
  • Manufacturing AI Suite
  • Retail AI Suite
  • Robotics AI Suite
  • Education AI Suite
  • Health and Life Sciences AI Suite
  • Edge AI Libraries
  • Edge Microvisor Toolkit
  • Edge Manageability Framework
  • OS Image Composer

Section Navigation

  • Metro SDK Manager
    • Metro Vision AI SDK
      • Metro Vision AI SDK - Tutorial 1
      • Metro Vision AI SDK - Tutorial 2
      • Metro Vision AI SDK - Tutorial 3
      • Metro Vision AI SDK - Tutorial 4
      • Metro Vision AI SDK - Tutorial 5
    • Metro Gen AI SDK
    • Visual AI Demo Kit
      • Visual AI Demo Kit - Tutorial 1
      • Visual AI Demo Kit - Tutorial 2
      • Visual AI Demo Kit - Tutorial 3
    • Release Notes

Samples

  • Smart Intersection
    • Get Started
      • System Requirements
      • Deploy with Helm
    • How It Works
    • How to use GPU for inference
    • How to use NPU for inference
    • Security Enablement
      • Enable dTPM for Smart Intersection Security
      • Enabling UEFI Secure Boot for Smart Intersection
      • Ubuntu Installation with Full Disk Encryption
      • Enable Total Memory Encryption (TME)
      • Trusted Compute Smart City Intersection
    • Troubleshooting
    • Release Notes
  • Smart Intersection Agent
    • Get Started
      • System Requirements
      • Build from Source
    • API Reference
    • Release Notes
  • Smart Route Planning Agent
    • Get Started
      • System Requirements
      • How to Build from Source
      • Environment Variables
    • Release Notes
  • Smart Parking
    • Get Started
      • System Requirements
      • Deploy with Helm
      • Deploy with the Edge Orchestrator
    • How-to Guides
      • Customize the Application
      • Generate and Deploy Offline Package
      • Use GPU for Inference
      • Use NPU for Inference
      • View Open Telemetry Data
      • Benchmark Performance
    • Troubleshooting
    • Release Notes
  • Loitering Detection
    • Get Started
      • System Requirements
      • Deploy with Helm
      • Deploy with the Edge Orchestrator
    • How-to Guides
      • Customize the Application
      • Use GPU for Inference
      • Use NPU for Inference
      • View Open Telemetry Data
      • Benchmark Performance
    • Troubleshooting
    • Release Notes
  • Smart Tolling
    • Get Started
      • System Requirements
      • Server File Download Checklist
    • How It Works
      • The Perception Layer
      • Optimization
      • Analytics Pipeline (Downstream)
    • API Reference
    • Troubleshooting
  • Image-based Video Search
    • Get Started
      • System Requirements
      • Deploy with Helm
      • Deploy with the Edge Orchestrator
    • How It Works
    • How to use GPU for inference
    • How to use NPU for inference
    • Troubleshooting
    • Release Notes
  • Interactive Digital Avatar
  • Visual Search and Q&A
    • Get Started Guide
      • System Requirements
      • Deploy with Helm
    • Tutorials
    • Troubleshooting
    • Release Notes
  • Sensor Fusion for Traffic Management
    • Get Started
      • Prerequisites
      • System Requirements
    • How it Works
    • Advanced user guide
    • APIs
    • Troubleshooting
    • Release Notes
  • Smart NVR
    • Get Started
      • System Requirements
      • Build from Source
      • Deploy with Helm
    • How to Use Smart NVR
    • Integrate Intel® SceneScape with Smart NVR
    • API Reference
    • Troubleshooting
    • Release Notes
  • Video Processing for NVR
  • Deterministic Threat Detection
    • Get Started
    • How-to Guides
      • Synchronize PTP Time (IEEE 802.1AS)
      • Configure the MOXA TSN Switch
      • Configure VLAN on MOXA Switch
      • Create VLAN on All Machines
      • Run RTSP Camera Capture and AI Inference
      • Run the Sensor Data Producer
      • Run the MQTT Aggregator and Visualization
      • Run the Traffic Injector
      • Enable TSN Traffic Shaping (IEEE 802.1Qbv)
    • Release Notes
  • Live Video Search
    • Get Started
    • System Requirements
    • Build from Source
    • How It Works
    • API Reference
    • Release Notes
  • Live Video Alert Agent
    • Get Started
    • System Requirements
    • How to Build Source
    • How It Works
    • API Reference
    • Known Issues
    • Release Notes
  • Live Captioning
    • Get Started
      • System Requirements
      • Build from Source
    • How it Works
    • Enable Alert Mode
    • Configure Object Detection Pipeline
    • API Reference
    • Known Issues
    • Release Notes

Software Development

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

Tools

  • Intel® Edge System Qualification
  • Geti
  • VIPPET
  • SceneScape
  • Metro AI Suite
  • Live Video Search

Live Video Search#

GitHub project Readme

Live Video Search is a Metro AI Suite sample that adapts the 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 docs: Smart NVR Overview

  • VSS Search Mode (Edge AI Libraries sample app)

    • Search‑MS + VDMS DataPrep + VDMS VectorDB + Pipeline Manager.

    • VSS UI for semantic queries and clip playback.

    • See VSS docs: Video Search and Summarization Docs

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.

  • Telemetry provides real‑time system 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.

  • 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

  • Show Source