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Innovation

SynthAI Revolutionizes Machine Vision Training With Artificial Intelligence

SynthAI service solves the challenge of training machine vision systems

Published: Wednesday, May 4, 2022 - 12:58

(Siemens: Plano, TX) -- Siemens Digital Industries Software’s SynthAI service is delivering the power of machine learning and artificial intelligence to solve the challenge of training machine vision systems.

“We were looking for a quick and easy solution that will enable us to detect wire terminals in a robotic electric cabinet assembly station,” says Omer Einav, CEO of Polygon Technologies. “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 to train the model was shortened significantly. The results show great promise for many additional use cases we plan to handle with SynthAI.”

Machine learning is used for a variety of vision-based automation use cases, such as robotic bin picking, sorting, palletizing, quality inspection, and more.  Although use of machine learning 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 in question 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 are used to speed up the data collection and training process. However, using synthetic data for vision use cases requires expertise in synthetic-image generation and can be complex, time consuming, and expensive. This where Siemens’ SynthAI changes the game.

Rather than waiting for preproduction 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 will then automatically generate thousands of randomized, annotated synthetic images within minutes without the specialist knowledge typically required.

SynthAI will also automatically train a machine-learning model that could be used to detect your product in real life. Once the training is done, the trained model can be downloaded, tested, and deployed offline, using no more than a little Python coding.  If organizations prefer to handle training of their own systems, complete synthetic image datasets, together with the annotations, are also available.

“The market for artificial intelligence for machine vision is expected to reach $25 billion by 2023, but there are many challenges facing those looking to take advantage of its benefits,” says Zvi Feuer, senior vice president and general manager of digital manufacturing at Siemens Digital Industries Software. “SynthAI demonstrates how Siemens is taking its depth of knowledge in both product engineering systems as well as production preparation, and planning and finding room for innovations that allow our customers to take advantage of tomorrow’s technology, today.”

To learn more about Siemens’ SynthAI visit their website.

About Siemens Digital Industries Software

Siemens Digital Industries Software is driving transformation to enable a digital enterprise where engineering, manufacturing, and electronics design meet tomorrow. The Xcelerator portfolio helps companies of all sizes create and leverage digital twins that provide organizations with new insights, opportunities, and levels of automation to drive innovation. For more information on Siemens Digital Industries Software products and services, visit siemens.com/software or follow Siemens on LinkedIn , Twitter , Facebook, and Instagram.

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For 40 years Quality Digest has been the go-to source for all things quality. Our newsletter, Quality Digest, shares expert commentary and relevant industry resources to assist our readers in their quest for continuous improvement. Our website includes every column and article from the newsletter since May 2009 as well as back issues of Quality Digest magazine to August 1995. We are committed to promoting a view wherein quality is not a niche, but an integral part of every phase of manufacturing and services.