Edge Impulse announces Bosch Sensortec support for Edge ML sensing applications
The leading edge machine learning development platform allows users to develop advanced tools with Bosch’s powerful new suite of sensors, found on the Arduino Nicla Sense ME.
The Nicla Sense ME is the first Arduino Pro product developed in collaboration with Bosch Sensortec, designed specifically for accelerating the development of intelligent sensing solutions. Measuring just 22.86mm×22.86mm (0.9in.×0.9in.), the Nicla Sense ME features a powerful 64MHz Arm Cortex-M4 microcontroller that can easily handle edge AI functions even with a low-power draw; the option to use battery power further complements its size and portability for remote environmental monitoring. Meanwhile, the advanced Bosch Sensortec sensors provide multiple ways to collect and analyze data, including: accelerometer and gyroscope (BHI260AP); high-accuracy pressure sensor (BMP390); a geomagnetic sensor (BMM150); and a combined low-power gas, pressure, temperature, and humidity sensor (BME688). These four sensors can also be used in concert for concurrent environmental and movement analysis.
, the leading development platform for ML on edge devices, allows developers to quickly and easily create and optimize solutions with real-world data, such as those collected by these Bosch sensors. The company’s platform streamlines the entire process of collecting and structuring datasets, designing ML algorithms with ready-made building blocks, validating the models with real-time data, and deploying the fully optimized production-ready result to an edge target. The Edge Impulse development platform, already in use by thousands of companies, stands to unlock massive value across every industry, with millions of developers making billions of devices smarter.
“The capabilities of the Nicla Sense ME and its Bosch Sensortec sensors open incredible opportunities for enterprise applications,” says Edge Impulse CEO and co-founder Zach Shelby. “Using the accessible development tools provided by Edge Impulse and Arduino will allow more engineers and developers to move intelligence closer to where the data is being collected.”
“The next generation of industrial monitoring is smart sensing that can be deployed in remote environments,” said Bosch Sensortec CEO Stefan Finkbeiner. “Bosch Sensortec’s capabilities are perfectly matched to Arduino’s hardware and Edge Impulse’s machine learning platform to rapidly design, train, and launch custom tools for almost any service.”
About Edge Impulse
Edge Impulse is the leading machine learning platform, enabling all enterprises to build smarter edge products. Their technology empowers developers to bring more ML products to market faster, and helps enterprise teams rapidly develop industry-specific solutions in weeks instead of years. The Edge Impulse platform provides powerful automation and low-code capabilities to make it easier to build valuable datasets and develop advanced ML with streaming data. With over 40,000 developers, and partnerships with the top silicon vendors, Edge Impulse offers a seamless integration experience to validate and deploy with confidence across the largest hardware ecosystem. To learn more, visit .
About Bosch Sensortec GmbH
Bosch Sensortec GmbH, a fully owned subsidiary of Robert Bosch GmbH, develops and markets a wide portfolio of microelectromechanical systems (MEMS) sensors and solutions tailored for smartphones, tablets, wearables and hearables, AR/VR devices, drones, robots, smart home and IoT (Internet of Things) applications. The product portfolio includes 3-axis accelerometers, gyroscopes and magnetometers, integrated 6- and 9-axis sensors, smart sensors, barometric pressure sensors, humidity sensors, gas sensors, optical microsystems and comprehensive software. Since its foundation in 2005, Bosch Sensortec has emerged as the MEMS technology leader in the markets it addresses. Bosch has been both a pioneer and a global market leader in the MEMS sensor segment since 1995 and has, to date, sold more than 15 billion MEMS sensors.