Nuvoton.AI

Environment Protection AI

Air quality monitoring is a critical area of environmental protection, and the application of modern AI technologies has brought about tremendous innovation in this field. Traditional air quality monitoring systems rely on periodic sampling and laboratory testing, which is not only expensive but also fails to provide real-time data and alerts. However, AI technologies that integrate microcontrollers (MCUs) and Tiny Machine Learning (TinyML) have changed this situation.

Environmental Protection AI Object Classification Object Detection Sensor Fusion Vibration Detection

Smart Water Resource Management

Water resource management is crucial for environmental protection and sustainable development. The application of AI technologies, especially those powered by Nuvoton MCUs and Tiny Machine Learning (TinyML), has brought about innovative applications for water resource management.

Environmental Protection AI Object Classification Object Detection

Smart Forest Protection and Wildlife Monitoring

Forests are one of the most important ecosystems on Earth, providing habitat for a vast array of plant and animal species. However, forests face significant threats from illegal logging, forest fires, and wildlife crime.

Environmental Protection AI Anomaly Detection

Smart Air Quality Monitoring

Modern air quality monitoring systems utilize extensive sensor networks that collect real-time data on various pollutants in the air, including PM2.5, PM10, sulfur dioxide (SO2), nitrogen oxides (NOx), and more.

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