Image-Based Video Search Sample Application

Performs near real-time analysis and image-based search to detect and retrieve objects of interest in large video datasets.

This guide is designed to help developers understand the architecture, setup, and customization of the sample application.

Get Started

• Image-Based Video Search Sample Application
  • Overview
  • How it Works
    • Inputs
    • Processing
    • Outputs
    • Deployment with Edge Orchestrator
    • Learn More
• Architecture Overview
  • Purpose
  • Architecture
    • Technical Architecture Diagram
    • Data Flow
  • Key Components and Their Roles
  • Extensibility
• System Requirements
  • Supported Platforms
  • Minimum Requirements
  • Software Requirements
  • Validation
• Release Notes
  • Version 1.0.1 (Current Release)
  • Version 1.0.0
• Get Started
  • Prerequisites
  • Set up and First Use
  • Make Changes
  • Troubleshooting
  • Supporting Resources

How to

• Deploy with Helm
  • Prerequisites
  • Pull the helm chart (Optional)
  • Steps to Deploy
  • Troubleshooting
  • Supporting Resources
• Deploy with the Edge Orchestrator
  • Procedure to Deploy with Edge Orchestrator
    • Prerequisites
    • Making the Deployment Package Available
    • Deploy the Application onto the Edge Nodes
    • Access the Image-Based Video Search Sample Application

Source Code

• GitHub

Support and Community

• Get Help
  • Troubleshooting Common Issues
    • 1. Containers Not Starting
    • 2. Port Conflicts
    • 3. Missing Dependencies