Intel® SceneScape

• Getting Started with Intel® SceneScape
  • Get Started
    • Prerequisites
    • Step 1: Install OS
    • Step 2: Clone the Intel® SceneScape source code
    • Step 3: Build Intel® SceneScape container images
    • Step 4 (Optional): Build dependency list of Intel® SceneScape container images
    • Step 5: Deploy Intel® SceneScape demo to the target system
    • Step 6: Verify a successful deployment
    • Logging In
    • Stopping the System
    • Starting the System
  • Summary
  • Next Steps
  • Learn More
• Tutorial
  • Navigate Intel® SceneScape User Interface
    • Time To Complete UI Walkthrough
    • Prerequisites For Exploring User Interface
    • Explore User Interface
  • Navigate Intel® SceneScape Online Documentation
    • Time To Complete Documentation Walkthrough
    • Prerequisites For Viewing Documentation
    • Explore Documentation
  • Summary
  • Learn More
• System Requirements
  • Supported Platforms
  • Software Requirements
  • Limitations
  • Validation
• Get Help
  • Troubleshooting Common Issues
    • 1. Failed login attempt by an unauthorized party disallows authorized user login for 5 seconds
    • 2. Postgres database will sometimes fail to start, resulting in an Internal Server Error (500) on login
    • 4. “WARNING: Service uses an undefined secret file” console messages on startup
    • 5. When deploying Intel® SceneScape on a system with a zfs filesystem, container startup is slow
    • 6. Uploading files with unicode characters in filename results in 500 error from webserver
    • 7. Renaming a scene causes data to stop flowing on the message bus and UI
    • 8. Issues are encountered when running in a virtual machine (VM)
    • 9. Images with either dimension larger than 2048 cause 2D calibration page map view to be empty in web UI
    • 10. Direct API access to Kubernetes-only model directory uploader allows reading/writing other container files
    • 11. Markerless camera calibration may not correctly calibrate the camera pose
    • 12. No messages are observed on MQTT Explorer when using webuser account
    • 13. Enabling “Live View” results in memory utilization monotonically increases over time
    • 14. Upgrading database from previous release versions fails

How to

• How to Use AprilTag Camera Calibration in Intel® SceneScape
  • Prerequisites
  • Steps to Calibrate Using AprilTags
    • 1. Select and Print AprilTags
    • 2. Test for Detectability
    • 3. Place AprilTags Throughout the Scene
    • 4. Generate Scene Floor Plan
      • Creating a Top-Down Orthographic Floor Plan View
    • 5. Configure Scene and Calibrate
    • 6. (Optional) Add 3D Map to Scene
  • Customizable Parameters
  • Future Enhancements
  • Supporting Resources
• How to Autocalibrate Cameras using Visual Features in Intel® SceneScape
  • Prerequisites
  • Steps to Calibrate Using Markerless Camera Calibration
    • 1. Generate Polycam Dataset
    • 2. Configure Scene in Intel® SceneScape
    • 3. Perform Calibration in 3D UI
  • Customizable Parameters
  • Future Enhancements
  • Supporting Resources
• How to Create and Manage a Scene Hierarchy in Intel® SceneScape
  • Prerequisites
  • Steps to Add a Local Child Scene
  • Steps to Add a Remote Child Scene
    • 1. Configure NTP for Synchronization
    • 2. Set Up Secure Communication
    • 3. Link Remote Child
  • Retrack Objects in Parent Scene
  • Set Temporal Fidelity of Scene Updates
  • Re-identification Support in Hierarchy
• How to Create and Configure a New Scene
  • Audience
  • Camera Selection Considerations
    • Determining camera field of view
  • Reference Configurations
    • Configuration 1: USB cameras with a single computer
    • Configuration 2: IP cameras with multiple computers
  • Mounting and Connecting Cameras
  • Configuring the vision pipeline for each camera
    • Setting up USB Cameras in Configuration 1
      • Setting the field of view
      • Update and save the .yml file
    • Setting up IP cameras and computers in Configuration 2
      • Scene Controller configuration
      • Video pipeline configuration
  • Creating a scene floor plan
    • Scene floor plan example
    • Adding the new scene and cameras
• How to Enable Re-identification Using Visual Similarity Search
  • Prerequisites
  • Steps to Enable Re-identification
  • Steps to Disable Re-identification
  • Evaluating Re-identification Performance
  • How Re-identification Works
  • Configuration Options
  • Troubleshooting
• Using NVIDIA GPU with OVMS in Scenescape
  • Pre-requisite
  • Setup Docker Build Environment
  • Fetch and Build OVMS
  • Run NVIDIA Enabled OVMS Container
  • Testing OVMS Using Benchmark Client
  • Scenescape docker_compose.yml file configuration
  • Verifying that NVIDIA hardware is being utilized
  • Troubleshooting Tips
• How to Integrate Cameras and Sensors into Intel® SceneScape
  • Prerequisites
  • Basic Data Flow
  • Common sensor message properties
  • Object Detection Data
  • Detection Metadata
  • Camera Calibration Methods
  • Camera Calibration Support
  • Singleton sensor data
  • Supporting Resources
• How to Integrate Intel® Geti™ AI Models with Intel® SceneScape
  • Prerequisites
  • Steps to Integrate Geti AI Models
  • Alternate: Using Intel® Geti™ with OpenVINO™ Model Server (OVMS)
  • Running YOLOv8 models with Intel® SceneScape detector
  • Configuration Options
    • Customizable Parameters
    • Apply Configuration Changes
  • Troubleshooting
  • Supporting Resources
• How to Manually Calibrate Cameras in Intel® SceneScape
  • Prerequisites
  • Steps to Manually Calibrate Cameras
    • 1. Calibrate Using Configuration File
    • 2. Calibrate Using 2D User Interface
    • 3. Use Advanced Calibration Features
    • 4. Calibrate Using 3D User Interface
  • Supporting Resources
• How to Upgrade Intel® SceneScape
  • Prerequisites
  • Steps to Upgrade Intel® SceneScape
  • Troubleshooting
• How to Use the Intel® SceneScape 3D UI for Camera Calibration
  • Prerequisites
  • Steps to Use the 3D UI
    • Step 1: Launch the 3D UI
    • Step 2: Add or Modify a Camera
    • Step 3: Calibrate the Camera
  • Configuration Options
  • Troubleshooting
  • Supporting Resources
• How to Use Environmental and Attribute Sensor Types in Intel® SceneScape
  • Prerequisites
  • Steps to Integrate Environmental and Attribute Sensors
    • 1. Understand Sensor Types
    • 2. Configure and Use an Environmental Sensor
      • Create the Sensor
    • Modify the Sensor
      • Publish Environmental Sensor Readings
      • Verify the Results
    • 3. Configure and Use an Attribute Sensor
      • Step 1: Create the Sensor
      • Create the Sensor
      • Step 2: Publish Attribute Sensor Readings
      • Step 3: Verify the Results
  • Supporting Resources
• How to Visualize ROI and Sensor Areas in Intel® SceneScape
  • Prerequisites
  • Steps to Visualize ROI and Sensor Areas
    • 1. Set Color Range Values for Region of Interest (ROI)
    • 2. Visualize ROI Coloring
    • 3. Set Color Range Values for Sensor Area
    • 4. Visualize Sensor Area Coloring
  • Configuration Options
    • Customizable Parameters
    • Change Configurations
  • Supporting Resources

References

• Intel® SceneScape Hardening Guide
• 1: Introduction
  • Scope
  • Audience
• 2: Secure Networking Configuration
  • Network trust boundary
  • Ports used by Intel® SceneScape
• 3: Secret creation and management
  • Intel® SceneScape TLS overview
  • Generating self-signed trust chain
  • Configuring the certificate generation tooling
  • Generating CSRs for later signing
  • Certificate and CSR parameters
  • Intel® SceneScape Passwords
    • Django
    • MQTT broker service accounts
• 4: Mosquitto authentication, authorization, and ACLs
• 5: Apache configuration
  • mod_reqtimeout configuration
• 6: Docker runtime hardening
  • CIS Docker Benchmark
  • Docker Bench for Security
• 7: Host system hardening
  • CIS Benchmarks for Linux systems
    • Distributions with a CIS Benchmark
    • CIS Benchmark Profiles
    • Automating CIS Benchmark for Linux deployment
      • OpenSCAP
      • Ubuntu Security Guide
• 8: Upcoming security features
  • Improved auditing and logging
• How Intel® SceneScape converts Pixel-Based Bounding Boxes to Normalized Image Space
  • From Pixels to Scene
    • Projecting a Bounding Box onto the Scene
    • Projecting a Single Bounding Box
    • Projecting Bounding Boxes from Multiple Cameras
    • Normalized, Camera Agnostic Metadata
  • Prerequisites
  • Steps to Convert Bounding Boxes
    • Step 1: Define Camera Parameters
    • Step 2: Estimate Camera Intrinsics
    • Step 3: Normalize Bounding Box Coordinates
    • Step 4: Verify the Results
  • Configuration Options
    • Customizable Parameters
  • Supporting Resources
• API Reference
• API Specification Viewing Instructions
  • 1. Pull Swagger UI image:
  • 2. Run the Swagger UI container
  • 3. View API docs via a browser
  • For additional information on Swagger UI installation to view the API, please see:
• Release Notes
  • New in this release
  • Known Issues
  • Limitations