Issue link: https://iconnect007.uberflip.com/i/1516724
54 SMT007 MAGAZINE I MARCH 2024 ically investigating the integration of AI into the AXI system, assessing its impact on detec- tion accuracy, program quality assurance, and inspection effectiveness. Data collection involves customer site trials, AI model test- ing, and measures to ensure model generaliza- tion and robustness. e study aims to provide insights into the benefits, challenges, and con- siderations of AI integration into AXI, empha- sizing its potential for substantial long-term cost savings. "THT-Solder-Copilot: A Machine Learning-based Solderability Check of THT Solder Joints" Presenter: Dr. Reinhardt Seidel, Institute for Factory Automation and Production Systems (FAPS), Friedrich-Alexander Universität Erlangen-Nürnberg e future of solderabil- ity checks and THT solder process development is dig- ital. No more scrap during process development. New machine learning approaches are capable of calculating the solder hole-fill according to PCB layout and solder parame- ters. With this modeling approach of the THT soldering process, machine-specific digital twins can be built. e solderability of a PCB in selective and wave soldering can be checked early during PCB design to reduce time to "Liquid Metal Patterning for Electronics" Presenter: Michael Dickey, NC State University is talk will explore the fascinating and unique prop- erties of liquid metals based on gallium. ese metals are liquids at room temperature and can be patterned into useful shapes to create so and stretchable electronic devices. Click here for the video. "How Artificial Intelligence (AI) Helps on Automated X-ray Inspection (AXI) Process" Presenter: HEE WEI KEN (WK), ViTrox Technologies Sdn Bhd e increased adoption of inspection systems in pro- duction, driven by automated technologies, has resulted in optimized operations, reduced resource consumption, and improved yield and quality. e automated 3D X-ray inspection solution (AXI) addresses hidden defects not captured by other systems, prompt- ing the integration of artificial intelligence (AI ) across various inspection stages. AI's introduction represents the forefront in technological innovation, offering automation benefits, streamlining of tasks, and enhancing efficiency. e research focuses on systemat-