Wildfires have a massive impact on our environment: They are responsible for up to 20% of annual global CO₂ emissions and endanger not only the lives of humans, but also of animals, and thus have a devastating impact on biodiversity. Attached to trees, a network of thousands of BME688 sensors is collecting data throughout the forest and is connected to a central server for wide area monitoring. Dryad is using the BME AI-Studio Server, a fully automated headless version of BME AI-Studio that enables automatic collection, labelling and partitioning of sensor data as well as automatic training of machine learning algorithms.
- Bosch BME688
- • First digital gas sensor with AI, ideal for the development of new applications
- • Straightforward customization for specific use cases, such as detection of spoiled food, bad breath, and forest fires
- • 4-in-1 MEMS sensor measures gases, humidity, temperature, and barometric pressure in a single compact package to reduce the total cost of ownership (TCO)
- • Market-leading sensor performance based on the proven BME680 platform, enhanced by new AI capabilities
- Bosch BME AI-Studio Server
- • BME AI-Studio Server Software enables sensor configuration, data analysis & labeling, training, and optimization of application-specific solutions