(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.

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