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Package details
- Latest version
- 6.3.4.9151
- Last updated
- First released
- Unity version
- 6000.0.28 or later
- Package size
- 131.8 MB
- Files
- 224
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Keywords
realvirtual.io AI Builder
Train, test, and deploy AI Vision in Unity. Generate synthetic data, run ONNX models, and connect to real PLCs with realvirtual.io AI Builder for industrial vision and automation.
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Last 6 months
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realvirtual.io AI Builder screenshot 1
About this asset
Train, test, and deploy your AI – directly inside Unity.
realvirtual.io AI Builder turns Unity into a full-featured platform for synthetic data generation, AI model testing, and industrial deployment. Whether you're building machine vision for robotics, logistics, quality inspection, or production lines, AI Builder lets you train smarter AI using Digital Twins.
✅ Key Features
- Create rich synthetic datasets with labeled images, depth maps, segmentation masks, and 2D bounding boxes
- Integrate ONNX models for oriented object detection, segmentation, and classification
- Use domain randomization and real-time physics to train more robust AI
- Run & test YOLO and other ONNX models directly inside your Unity scene
- Generate training data at scale using realvirtual.io’s automation framework
- Deploy AI across platforms – Windows, Linux, Android, macOS
- Connect to industrial automation: Siemens S7, Beckhoff ADS, OPC UA, MQTT, Modbus, WebSocket (Industrial interfaces available in realvirtual.io Starter or Professional editions)
• Compatible with Siemens S7, Beckhoff ADS, OPC UA, MQTT, Modbus, WebSocket - Industrial Interfaces available in realvirtual.io Starter or realvirtual.io Professional
🧪 YOLO Training Integration
Includes a ready-to-use example pipeline for Ultralytics YOLO with synthetic data generation and model export workflow.
We provide two open-source training pipelines (AGPL-3.0 license):
Note: Ultralytics is not included in this asset. It can be downloaded as open source under the AGPL-3.0 License from:
https://github.com/ultralytics/ultralytics
We provide two open-source training pipeline Examples under AGPL-3.0 License:
• A Toy Brick Detection pipeline
• A Card Detection pipeline ( the full Igus Rebel UI Application is not included).
These examples can be used as templates to build your own ONNX-compatible models with YOLO. Other pipelines are supported but may require custom scripting.
🚀 Designed for:
- Vision system developers
- Robotics and automation engineers
- Industrial AI prototyping
- Smart factories & logistics systems
- Academic & research simulation labs
🎮 Built on top of realvirtual.io
AI Builder extends the realvirtual.io framework – the industrial Unity toolkit for real-time physics, PLC connectivity, and Digital Twins.
💡 Bonus
- Includes demo scenes and a YOLO ONNX test example for immediate productivity
- Seamless integration with Unity Editor for rapid prototyping and testing
- No cloud required – all workflows run entirely offline if needed
From the publisher's Asset Store listing.
Technical details
📸 Synthetic Data Generation
Generate high-quality labeled images and bounding boxes inside Unity.
🧠 ONNX Model Integration
Load and run ONNX models (e.g., YOLO) directly in your scene using Unity Sentis or third-party runtimes.
🎯 Domain Randomization
Automatically vary lighting, textures, object positions, and camera angles to improve AI generalization.
🔍 AI Testing in Digital Twins
Simulate, visualize, and validate AI behavior inside a working Digital Twin – before deployment.
📦 Scalable Data Pipelines
Automate large-scale dataset creation with controlled scene variation and labeling tools.
🔗 Real-Time Deployment
Connect your AI to real PLC systems via Beckhoff ADS, Siemens S7, OPC UA, MQTT, Modbus, or WebSocket - requires realvirtual.io Starter or Professional industrial interfaces
🌍 Cross-Platform Support
Build and run AI-enabled Unity apps on Windows, Linux, macOS, Android, and more.
🛠 Industrial-Grade Demo
Includes a ready-to-run Lego and Card sortingexample with real-time classification and sorting logic.
🧩 Compatible with realvirtual.io
Seamlessly integrates with the realvirtual.io framework for physics-based automation and Digital Twin development.
Compatibility
| Unity version | Built-in | URP | HDRP | Custom |
|---|---|---|---|---|
| 6000.3.5f1 | Compatible | Compatible | Compatible | Compatible |
| 6000.0.28f1 | Compatible | Compatible | Compatible | Compatible |
As listed on the Asset Store.