Apart from drying clothes faster and more efficiently, today’s clothes dryers are also required to reduce energy consumption to the minimum, maintain low noise levels, and ensure higher safety. Moreover, they are increasingly expected to offer home automation and remote control connectivity via cloud and mobile apps while featuring user-friendly interfaces for easier operation. Modern dryers are becoming smarter with the rise of Artificial Intelligence (AI) technologies. AI can be applied to the control system of a dryer to optimize the drying process and reduce energy consumption. For example, with machine learning algorithms, the dryer can automatically adjust drying time and temperature based on fabric type, moisture content, and load size, achieving more efficient drying results.
Nuvoton provides various applications for these applications, including MCU microcontrollers for building efficient dryer drive systems. We also support the adoption of TinyML (Tiny Machine Learning) and machine learning technologies. Through embedded AI, dryers can intelligently control and optimize the drying process to adapt to different clothes and ambient conditions, thus saving energy and time.
In summary, modern clothes dryers are expected to be more efficient, energy-saving, quieter, and capable of intelligent control via AI and machine learning technologies, offering users a more convenient and personalized drying experience. Nuvoton applications provide reliable support for these requirements, driving continuous innovation in dryer technologies.
Applicable development boards: NuMaker-HMI-MA35D1-S1, NuMaker-HMI-M467, NuMaker-IoT-M467
