Tongkuai has developed new applications for laser AI, greatly improving manufacturing efficiency

Recently, Tongkuai announced the development of an artificial intelligence (AI) application for lasers, which can make manufacturing more efficient. For example, electric vehicle manufacturers can use it to produce more electric motors in a shorter time and reduce rework and scrap rates.
In the future, we hope to use artificial intelligence to elevate the overall system of laser, optics, sensor technology, and software to a new level of performance. Therefore, we are advancing the development of more in-depth artificial intelligence solutions, which will make laser processes in industry stronger and more profitable, "said Christian Schmitz, CEO of Tongkuai Laser Technology, "The AI process has been proved in the mass production of electric vehicles and can be used for various laser welding applications."

Artificial intelligence makes production more robust

At the Light Expo in Munich, Germany, Tongkuai will show the public how artificial intelligence (AI) supports laser welding for the first time. At this exhibition, it will showcase its artificial intelligence solution EasyModel AI, which creates an algorithm and AI filters that apply the algorithm for VisionLine detection.

To ensure that the weld seam is always in the correct position, laser sensor technology must accurately position the weld seam geometry on the component, otherwise there is a risk of scrap. Dirt or scratches on components, poor lighting conditions in the working area, or highly reflective materials such as copper can also make positioning difficult. The Tongkuai AI solution supports image processing, thereby reducing such interference.

User Training AI Solution

Before using artificial intelligence, users must train it. For this purpose, the machine setter marks the relevant component areas on the corresponding image medium. This does not require programming knowledge. Using this system is as simple and intuitive as using a drawing and drawing program on a smartphone or computer. Then the trained AI model is used in the AI filter of the VisionLine Detect image processing system.