ONE AI is a neural architecture search platform that generates custom AI models optimized for specific hardware targets. It takes labeled image data, analyzes task requirements and hardware constraints, and produces deployment-ready models in formats including ONNX, TensorFlow Lite, and VHDL.
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How do I use ONE AI?
You interact with ONE AI entirely through ONE WARE Studio and ONE WARE Cloud. Studio provides the interface for importing images, labeling data, configuring training settings, and exporting models. Cloud handles job execution and model optimization in the background. You don't need to install or manage ONE AI directly — it runs as part of the platform whenever you start a training or export job.
Documentation Structure
Configuration
| Page | Description |
|---|
| Project File (.oneai) | JSON file format specification for ONE AI projects |
| Hardware Settings | Target hardware definition and constraint configuration |
| Prefilters | Image preprocessing pipeline — resolution, crop, color, frequency, threshold filters |
| Augmentations | Training-time data augmentation — geometric and photometric transforms |
| Model Settings | Model architecture parameters, prediction types, and resource allocation |
Data
Training & Deployment
Supported Annotation Modes
| Mode | Output | Use Case |
|---|
| Classification | Class labels per image | Defect detection, sorting, counting |
| Object Detection | Bounding boxes with class labels | Locating and identifying multiple objects |
| Segmentation | Per-pixel class masks | Precise region delineation |
| Format | Target |
|---|
| ONNX | CPU, GPU, edge devices via ONNX Runtime |
| TensorFlow Lite | Microcontrollers, mobile, TPU |
| VHDL | FPGA synthesis |
| Binary / Source | Standalone executables, embedded integration |
Image Fusion Modes
| Mode | Input | Description |
|---|
| Single | 1 image | Standard single-frame inference |
| Multi | N images | Multiple viewpoints of the same scene |
| Difference | 2 images | Detects changes between reference and current frame |
| Comparison | 2 images | Compares two arbitrary images |
| Stereo | 2 images | Left/right stereo pair for depth-aware detection |
Need Help? We're Here for You!
Christopher from our development team is ready to help with any questions about ONE AI usage, troubleshooting, or optimization. Don't hesitate to reach out!
