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Open Edge Platform

    • Open Edge Platform Overview
    • Metro
    • Manufacturing
    • Retail
    • Robotics
    • Education
    • Health and Life Sciences
    • Federal and Aerospace
    • Libraries, Tools, Services
    • DL Streamer
    • Scenescape
    • ViPPET
    • Edge Microvisor Toolkit
    • Image Composer Tool
  • Open Edge Platform Overview
  • Metro
  • Manufacturing
  • Retail
  • Robotics
  • Education
  • Health and Life Sciences
  • Federal and Aerospace
  • Libraries, Tools, Services
  • DL Streamer
  • Scenescape
  • ViPPET
  • Edge Microvisor Toolkit
  • Image Composer Tool

Section Navigation

Samples

  • HMI Augmented Worker
    • Get Started
      • System Requirements
      • Build from Source
    • Release Notes
  • Industrial Edge Insights - Vision
    • Get Started
      • Vision System Requirements
      • Environment Variables
      • Deploy with Helm
      • Deploy Multiple Instances with Helm
    • How To Customize
      • Run Multiple Apps
      • Manage Pipelines
      • Run Multiple AI Pipelines
      • Run in an Air-Gapped System
      • Use Your Own Model and Video
      • Change Video Source
      • Scale Video Resolution
    • How To Evaluate and Accelerate
      • Use GPU For Inference
      • Use NPU For Inference
      • Run Benchmarks
    • How To Extend Functionality
      • Publish Frames to S3 Storage
      • Publish Frames to OPC UA Server
      • Enable MLOps
      • Start MQTT Publisher
      • View Telemetry Data
    • Sample Application: Pallet Defect Detection
      • How-to Guides
        • Generate a Model with Geti™ Software
        • Export and Optimize a Geti™ Model
        • Integrate a Camera SDK
          • Install Balluff SDK
          • Install pylon SDK
    • Sample Application: PCB Anomaly Detection
      • How It Works
    • API Reference
    • Troubleshooting
    • Release Notes
      • Release Notes 2025
    • Win Vision AI
      • Get Started
      • How It Works
      • Release Notes
  • Industrial Edge Insights - Time Series
    • Get Started
      • System Requirements
      • Build from Source
      • Deploy with Helm
    • How-to Guides
      • Configure Alerts
      • Configure Secure MQTT Broker Connection
      • Configure Secure OPC UA Server Connection
      • Deploy with Custom UDF
      • Update Configuration
      • Create a New Sample App
      • Write a User Defined Function (UDF)
      • Benchmarking
      • Enable Multi-Stream Ingestion
    • Wind Turbine Anomaly Detection
      • Enable System Metrics Dashboard
      • Model Selection Guide: Wind Turbine Anomaly Detection
    • Troubleshooting
    • Release Notes
      • Release Notes 2025
  • Industrial Edge Insights - Multimodal
    • Get Started
      • System Requirements
      • Build from source
      • Deploy with Helm
    • How-to Guides
      • Configure Alerts
      • Update Configuration
      • Access S3 Stored Images
      • Configure RTSP Camera
      • Fine-Tune a VLM with Unsloth Library — Weld Usecase
      • Deploy vLLM Service For Defect Explanation
      • Deploy the Agentic Workflow for the Multimodal Weld Defect Detection Sample App
    • Multimodal - Weld Defect Detection
    • Troubleshooting
    • Release Notes
      • Release Notes 2025

Tools and Libraries

  • OpenVINO Toolkit
  • OpenVINO Model Server
  • DL Streamer
    • Go back to Libraries
    • DL Streamer Overview
    • Installation Guide
      • Install Guide Ubuntu
      • Install Deep Learning Streamer on Ubuntu OS Version 24.04 under WSL2
      • Uninstall Guide Ubuntu
      • Install Guide Windows
      • Uninstall Guide Windows
    • System Requirements
    • Tutorial
    • Using Sample Apps
    • Available Sample Apps
    • Developer Guide
      • Coding Agent
      • Advanced Installation Guide
        • Advanced Installation On Ubuntu - Prerequisites
        • Advanced Installation - Compilation From Source
        • Advanced Installation On Ubuntu - Build Docker Image
        • Advanced Uninstallation On Ubuntu
        • Advanced Installation on Windows - Compilation From Source
        • Advanced Installation on Windows - Install via Command Line
      • Metadata
        • GStreamer Analytics Metadata
        • 3D Sensor Metadata (LiDAR & radar)
        • Watermark Metadata
        • Legacy Analytics Metadata (deprecated)
      • Model Preparation
        • Download and Convert Models
      • OpenVINO Custom Operations Support
      • Model Info Section
      • GStreamer Python Bindings
      • Custom GStreamer Plugin Installation
      • Custom Processing
      • Object Tracking
      • GPU device selection
      • Heterogeneous AI Inference on Intel Core Ultra processors
      • Performance Guide
      • Profiling with Intel VTune™
      • DL Streamer and DeepStream Coexistence
      • Converting NVIDIA DeepStream Pipelines to Deep Learning Streamer Pipeline Framework
      • How to Contribute
        • Coding Style
      • Latency Tracer
      • Model-proc File (legacy)
        • How to Create Model-proc File
      • Optimizer
    • Elements
      • gvadetect
      • gvaclassify
      • gvainference
      • gvamono3d
      • gvatrack
      • gvaaudiodetect
      • gvaaudiotranscribe
      • gvagenai
      • g3dradarprocess
      • g3dlidarsrc
      • g3dlidarparse
      • g3dinference
      • g3dobjectfuser
      • g3drender
      • gvaanalytics
      • gvaattachroi
      • gvafpscounter
      • gvafpsthrottle
      • gvastreammux
      • gvastreamdemux
      • gvametaaggregate
      • gvametaconvert
      • gvametapublish
      • gvapython
      • gvarealsense
      • gvawatermark
      • gvawatermark3d
      • gvamotiondetect
      • GStreamer Elements
        • vacompositor
    • Supported Models
    • API Reference
    • Release Notes
      • Release Notes 2025
      • Release Notes 2024
  • DL Streamer Pipeline Server
    • Get Started
      • System Requirements
      • Environment Variables
      • Build from Source
      • Deploy with Helm
    • How-to Guides
      • Manage Pipeline
      • Autostart Pipelines
      • Change Deep Learning Streamer Pipeline
      • Run Configurable Pipelines
      • Run UDF Pipelines
      • Use CPU for Inference
      • Use GPU or NPU for Inference
      • Use Image File as Source over REST Payload
      • Use RTSP Camera as Source
      • Download and Run YOLO Models
      • Publish Frames to S3 Storage
      • Publish Data over MQTT
      • Publish Metadata to InfluxDB
      • Stream Frames over WebRTC
      • Publish Metadata over ROS2
      • Add System Timestamps to Metadata
    • Advanced User Guide
      • Basic Deep Learning Streamer Pipeline Server Configuration
      • REST API guide
        • REST Endpoints Reference Guide
        • Defining Media Analytics Pipelines
        • Customizing Pipeline Requests
      • Cameras
        • RTSP Cameras
      • File Ingestion
        • Image Ingestion
        • Video Ingestion
        • Multifilesrc Usage
      • User Defined Functions (UDF)
        • UDF Writing Guide
        • Configuring udfloader element
      • Publishers
        • MQTT Publishing via gvapython
        • MQTT Publishing
        • OPCUA Publishing post pipeline execution
        • S3 Frame Storage
      • How To Advanced
        • Object tracking with UDF
        • Enable HTTPS for DL Streamer Pipeline Server (Optional)
        • Performance Analysis (Latency)
        • Pinning the DL Streamer Pipeline Sever to CPU cores
        • Get Tensor Vector Data
        • Run Multistream Pipelines with Shared Model Instance
        • Cross Stream Batching
        • Enable Open Telemetry
        • Working with other services
    • API Reference
    • Troubleshooting
    • Release Notes
      • Release Notes 2025
      • Release Notes 2024
  • Geti™ Software
  • Visual Pipeline and Platform Evaluation Tool
    • Go back to Libraries
    • ViPPET Overview
    • Installation
      • System Requirements
      • Pre-Installation Steps
      • Use Pre-Built Docker Images
      • Build from Source
      • Installation Troubleshooting
    • Quickstart Guide
      • Vision Use Case
      • GenAI Use Case
      • Motion Detection Use Case
      • Safety and Security Use Case
      • Deploy Time Series Analytics Microservice
    • Input Management
      • Cameras
      • Image Sets
      • Videos
    • Model Management
      • Using Models from Geti
      • Using Models from Hugging Face
    • Working With Pipelines
      • Creating New Pipelines
      • Configuring and Running Pipelines
      • Using Predefined Pipelines
      • Simple vs. Advanced View
    • Benchmarking
      • Performance Testing
      • Stream Density Testing
      • Managing Jobs
      • Benchmark Export
      • Benchmark Suites
    • Architecture
      • VIPPET UI
      • VIPPET Backend
    • Performance Metrics
      • Pipeline Performance
      • System Performance
    • Contributing Guide
      • Backend
      • How to add a new pipeline
      • How to add a new element
      • UI end-to-end tests (Playwright)
    • Troubleshooting
    • Release Notes
      • Release Notes 2026.1
      • Release Notes 2026.0
      • Release Notes 2025.2
    • Get Support
  • Scenescape
    • Go back to Libraries
    • Scenescape Overview
    • Installation
    • System Requirements
    • Deploy Scenescape
    • Use the UI and Online Documentation
    • Build a Scene
      • Create a New Scene
      • Generate a Scene Map
      • Use Different Sensor Types
      • Visualize ROIs and Regions
      • Configure a Hierarchy of Scenes
      • Deploy Multiple Controllers on One Host
      • Configure Geospatial Coordinates
      • Configure Geospatial Map Service API Keys
      • Configure Spatial Analytics
    • Integrate Cameras and Sensors
    • Publish External Source Adapter
    • Calibrate Cameras
      • Use 2D UI for Calibration
      • Use 3D UI for Calibration
      • Automatic Calibration - Visual Features
      • Automatic Calibration - April Tags
    • Work with Spatial Analytics Data
    • Run the LiDAR-Intersection Fusion Demo
    • Analytics
      • Data Formats
      • API Reference
    • Auto Camera Calibration
      • Get Started
        • Build from Source
      • Markerless Camera Calibration
      • API Reference
    • Cluster Analytics
      • Get Started
        • Build from Source
      • How It Works
      • DBSCAN Noise Points
      • Analytics Payload Reference
    • Mapping Service
      • Build from Source
      • API Reference
    • Scene Controller
      • Get Started
        • Build from Source
      • Configure the Tracker
      • 2-Tier Hybrid Search Implementation
      • Pose Adjustment
      • Data Formats
      • API Reference
    • API Reference
    • Defining Object Properties
    • Enabling Re-identification
    • Enabling Observability (Experimental)
    • Integrating Geti™ AI Models
    • Configuring DL Streamer Video Pipeline
    • Model configuration file format
    • Running License Plate Recognition with 3D Object Detection
    • Managing Files in Volumes
    • Controlling Scene Lighting with Physical Light Sensors
    • Viewing Re-identification Metrics
    • Hardening Guide
    • How to Upgrade
    • Converting Bounding Boxes to Normalized Image Space
    • Troubleshooting
    • Release Notes
      • Release Notes 2025

Intel® Edge Controls for Industrial

  • Overview
  • ECI Documentation

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

  • Intel® Edge System Qualification
  • Get Help or Contribute
  • Manufacturing AI Suite
  • Industrial Edge Insights - Vision
  • Pallet Defect Detection
  • How-to Guides

How-to Guides#

This section collects guides specific for the Pallet Defect Detection sample application.

  • Generate a Model with Geti™

  • Export and Optimize a Geti™ Model

  • Integrate a Camera SDK with supported cameras

    • Install the Balluff SDK

    • Install the pylon SDK

For more general Industrial Edge Insights Vision how-to guides, refer to one of the following sections:

  • How to Customize

  • How to Evaluate and Accelerate

  • How to Extend Functionality

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