SynthAITM

Automatic ML Training
for Vision Systems

Generate synthetic data & train your ML algorithms automatically

Auto-generate 1000’s of annotated images
in minutes

Automatically train
your ML vision
algorithms

Complete
Online solution

Easy to integrate
using Python

Industry Use Cases

Quality Inspection

Flexible Robotic Assembly

Robotic Picking

Sorting & Kitting

How It Works

Trained ML model in 3 simple steps

Upload Your CAD File

Upload a CAD file or a 3D scan of the object you want use for training your ML model

Train

SynthAI generates 1000's of accurately annotated computer generated synthetic images and then automatically trains a ML model using the generated images. 

Download Trained Model

When the model training is done, you can simply download it. We provide a simple python package and examples that makes integration into your projects a matter of minutes. 

The Benefits

SynthAI Benefits

• Shorten data collection and training time

• Eliminate tedious manual image labeling tasks

• Ensure accurately annotated synthetic images

• Get high-precision trained models

• Web-based easy to use application

The Possibilities of Synthetic Data for AI

• Generate synthetic data from simulation / CAD environment

• Eliminate manual image processing (annotation quality)

• Process thousands of images in minutes

• Annotate objects automatically

• Shorten process time from weeks to hours

• Reduce dependency on expensive physical setups

What People Say About Us

“ We used SynthAI to train object detection models for part detection done in an automated robotic handling of a power module testing system. SynthAI enabled us to automate the training for the application by utilizing the CAD model of our parts, thus we were able to reduce data quality issues and to save hours of image capturing and labelling efforts compared to our previous methods. We plan to implement SynthAI as part of our standard process to train CV applications. SynthAI helps us to efficiently create smart industrial perception solutions. "

Maximilian Metzner
Local Lead Autonomous Production Systems
Assembly-Technology/Automation Planning and Development
Siemens GWE Motion Control plant

“ We were looking for a quick and easy solution that will enable us to detect wire terminals in a robotic electric cabinet assembly station. With SynthAI our control engineers were able to achieve great results within just a few hours. The tedious task of annotating a large set of training images and training the model was shortened significantly. The results show great promise for many additional use cases we plan to handle with SynthAI. "

Omer Einav
CEO
Polygon Technologies