Siemens Digital Industries Software’s SynthAI is delivering the power of machine learning and artificial intelligence to solve the challenge of training machine vision systems, per its maker.
“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,” said Omer Einav, CEO, Polygon Technologies. “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."
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 with SynthAI, according to Siemens. SynthAI can 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 products 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, per Siemens.
“The market for artificial intelligence for machine vision is expected to reach $25B by 2023, but there are many challenges facing those looking to take advantage of its benefits,” said 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.”
