Edge Impulse announced that its machine learning development platform now supports Bosch Sensortec sensors, which are used in the new Arduino Nicla Sense ME microcontroller board to enable unprecedented intelligence in edge-based products and solutions.
Nicla Sense ME is the first Arduino Pro product developed in collaboration with Bosch Sensortec, specifically designed to accelerate the development of intelligent sensing solutions. Measuring just 22.86 mm × 22.86 mm (0.9 in x 0.9 in), the Nicla Sense ME is equipped with a powerful 64 MHz Arm Cortex-M4 microcontroller that can easily handle high-end AI functions performance, even with low power consumption; the ability to use battery power further completes the size and portability for remote environmental monitoring.
Meanwhile, advanced sensors from Bosch Sensortec offer multiple ways to collect and analyze data, including an accelerometer and gyroscope (BHI260AP); high precision pressure sensor (BMP390); a geomagnetic sensor (BMM150); and a low power combined gas, pressure, temperature and humidity sensor (BME688). These four sensors can also be used together for simultaneous environmental and motion analysis.
Edge Impulse, the leading development platform for ML on edge devices, enables developers to quickly and easily create and optimize solutions using real data such as that collected by Sensortec sensors.
The company’s platform simplifies the entire process of collecting and structuring datasets, designing ML algorithms with building blocks, validating models with real-time data, and implementing the production-ready output fully optimized for a primary purpose.
Already used by thousands of companies, the Edge Impulse development platform can deliver enormous value across industries, with millions of developers making billions of devices brighter.
“The next generation of industrial surveillance is the smart sensor that can be deployed in remote environments,” said Stefan Finkbeiner, Bosch Sensortec. “Bosch Sensortec resources are seamlessly compatible with Arduino hardware and the Edge Impulse machine learning platform to quickly design, train, and launch custom tools for any service.”