iNEMO inertial modules integrate complementary sensors in compact, robust, and easy-to-assemble inertial measurement units (IMU).
iNEMO system-in-packages (SiP) combine an accelerometer and a gyroscope in a monolithic 6-axis solution.
The integration of multiple sensor outputs ensures the highest accuracy of motion-sensing systems for the most demanding applications, such as enhanced gesture recognition, gaming, augmented reality, indoor navigation, and localization-based services.
Applications
- Motion tracking
- User interface
- Power optimization
- OIS/EIS
- Context recognition
Growing iNEMO family of sensors
ST’s iNEMO portfolio includes inertial measurement modules, modules with machine learning cores, and intelligent sensor processing units.
- Inertial measurement modules
These sensors offer application developers best-in-class motion sensing for orientation and gesture detection with more sophisticated features and capabilities than simple movement detection. These modules are designed with integrated hardware features and enable efficient and reliable motion tracking and contextual awareness.
- Sensors with embedded machine learning core
iNEMO inertial modules with embedded machine learning core save even more power at system level. The MLC is an in-sensor engine with classification-based AI algorithm (decision tree) able to run different tasks while the sensors are detecting motion data.
- Sensors with intelligent sensor processing units
This entirely new type of sensor is based on an extremely integrated, ultra-low-power circuit. The intelligent sensor processing unit (ISPU) is a tiny C programmable processor that can execute signal processing and AI algorithms in the sensor and is compatible with the most common development tools. ISPU sensors support signal processing and AI inference, machine learning and deep learning, and even binary neural networks, offering broad programming flexibility on a power budget in the order of microwatts.
Discover iNEMO portfolio
Benefits
- Best-in-class power consumption for always-on applications
- High accuracy over time and temperature for a superior motion and context experience
- High shock survivability guaranteeing very high robustness
- Local processing with ML algorithms and low microamp consumption
- Sensor AI programming flexibility
Featured Videos
Leverage on the Machine Learning Core capabilities to optimize activity recognition with the lowest power consumption solution.
Discover the dynamic inclinometer library demo with the high performance industrial grade IMU.
A bridge between the sensor on the motherboard and your laptop
Recommended for you
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.