Siemens digital industries software

SynthAI delivers the power of machine learning (ML) and artificial intelligence (AI) to solve the challenge of training machine vision systems.

ML is used for a variety of vision-based automation use cases such as robotic bin picking, sorting, palletizing, and quality inspection. While usage of ML for vision-based automation is growing, many industries face challenges and struggle to implement it within their computer vision applications. This is due to the need to collect many images of the parts and the challenges associated with accurately annotating the different products within those images – particularly before production or manufacturing begins.

To solve this challenge, synthetic data is used to speed up data collection and training. However, using synthetic data for vision use cases requires expertise in synthetic image generation and can be complex, time consuming, and expensive. Siemens’ SynthAI addresses these challenges.

Rather than waiting for pre-production parts to be ready or using complex processes to generate synthetic data, machine vision specialists only need to provide 3D CAD data of the parts. SynthAI automatically generates thousands of randomized annotated synthetic images within minutes without the specialist knowledge typically required.

SynthAI automatically trains a ML model to detect the product in real life. Once the training is done, the trained model can be downloaded, tested, and deployed offline using a little Python coding. If organizations prefer handling training of their own systems, complete synthetic image datasets together with the annotations are also available.

Siemens Digital Industries Software