Induction cooktops must be efficient and safe and provide a friendly user interface. Resonant switch topologies are commonly used as the power converter in these appliances, as they also help to reduce electromagnetic interference (EMI) levels. With the advancement of Artificial Intelligence (AI) technology, modern induction cooktops are becoming smarter.
AI techniques can be applied to the control system of the cooktop to achieve a more efficient and precise cooking experience. Through machine learning algorithms, the induction cooktop can automatically recognize different cooking materials and temperature requirements and adjust the heating power and time automatically to ensure optimal cooking results for the food. This not only improves the quality of cooking but also saves energy and time.
Nuvoton provides a wide range of applications for applications, including MCU microcontrollers, which are used to build efficient power systems for induction cooktops. Moreover, we support the application of TinyML (Tiny Machine Learning) and machine learning technologies. Through embedded AI, induction cooktops can intelligently control the cooking process to adapt to different ingredients and cooking methods, providing an excellent cooking experience. In summary, in addition to the requirements of being efficient, safe, and having a user-friendly interface, modern induction cooktops can also achieve intelligent control through AI and machine learning technologies, improving the quality and convenience of cooking. Nuvoton applications provide reliable support for these requirements, driving the continuous innovation of cooking technology.
Applicable development boards: NuMaker-HMI-M467, NuMaker-IoT-M467
