iNEMO™ inertial modules are inertial measurement units (IMU) which integrate complementary types of sensors to offer more compact, robust, and easy-to-assemble solutions compared to discrete MEMS products.
iNEMO™ System-in-packages (SiP) combine accelerometer, gyroscope and magnetometer in a monolithic 6-axis or 9-axis solution.
To further save power at system level, we have designed iNEMO inertial modules with an embedded Machine Learning Core. The MLC runs an in-sensor classification engine, offloading the main processor to either run different tasks or to be put to sleep and save power, while the built-in sensors identify motion data.
The integration of multiple sensor outputs bring motion sensing systems to the level of accuracy required for the most demanding applications, such as enhanced gesture recognition, gaming, augmented reality, indoor navigation and localization-based services.
Why choosing ST's IMU?
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This video tutorial shows how to easily configure a silicon-embedded advanced pedometer feature, using ST’s new generation of iNEMO™ Inertial Measurement Units (IMU).
This video on the SensorTile.box Pro Mode shows you how to use this IoT and wearable sensor development kit to create customized wireless applications using an STM32Cube function pack. Use-case on a Human Activity Recognition algorithm included.
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iNEMO inertial modules with an embedded Machine Learning Core
Our newest iNemo™ inertial module family features an embedded Machine Learning Core, a key enabler for ultra-low-power edge computing.
This innovative system-in-package (SiP) solution runs an in-sensor classification engine able to increase accuracy with a better context detectability; offloading the main processor while the built-in sensors identify motion data.
Enabling longer battery runtime, lower maintenance, and reduced size and weight in context-aware and motion-sensing devices, these IMUs are easily recognizable by the letter X at the end of their product code.
Visit the MEMS Sensors Ecosystem for Machine Learning page to find out more and get started.