{"id":7317,"date":"2022-10-25T10:20:40","date_gmt":"2022-10-25T14:20:40","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/tecnomatix\/?p=7317&preview=true&preview_id=7317"},"modified":"2026-03-26T07:06:59","modified_gmt":"2026-03-26T11:06:59","slug":"synthai-demo-1-upload-cad-data-start-training","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/tecnomatix\/synthai-demo-1-upload-cad-data-start-training\/","title":{"rendered":"SynthAI Demo #1: Upload CAD Data & Start Training [VIDEO]"},"content":{"rendered":"\n

In this first demo series of SynthAI, learn how to train object detection machine learning with synthetic data in three easy steps.<\/strong><\/h3>\n\n\n\n

Synthetic data is transforming the machine learning world before our very eyes. This artificial computer-generated data can stand-in for data obtained from the real world and is used for a variety of vision-based automation use cases such as robotic bin picking, sorting, palletizing, quality inspection, and others. Although the usage of machine learning for vision-based automations<\/a> continues to expand, many industries face the challenge with the successful implementation within their computer vision applications. That is because the time required to generate synthetic data from real-world data, such as collecting thousands of images, and the challenges associated with accurately annotating the different items within those images is cumbersome and costly. <\/p>\n\n\n\n

Factory engineers need a way to quickly ramp up their AI and machine learning algorithms so that simulations can be deployed in a much more efficient manner. Discover how Siemens SynthAI<\/a>, AI-driven cloud-based platform, solves this complex problem by watching the video demo below. This web-based solution allows factory engineers, like you, to replicate a digital twin of the part or object being manufactured and accelerate machine learning algorithms to perform various tasks like detecting objects or defects more effectively. SynthAI generates synthetic data that can train machine learning models to detect a product in real life. This capability allows manufacturing engineers to quickly and easily use the trained model to detect the object within the image that is obtained from the physical shop floor. <\/p>\n\n\n\n

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