Sensors deliver machine learning in industry and consumer, says ST
Motion-detection machine-learning core (MLC) technologies are integrated in the ISM330DHCX and LSM6DSRX six-axis iNemo inertial measurement units (IMUs).
The iNemo sensors deliver machine-learning core efficiencies for industrial and consumer applications, says STMicroelectronics.
The MLC performs basic artificial intelligence (AI) pre-processing of motion data using about 0.001 times the power a typical microcontroller would consume to complete the same task, reports the company. As a result, IMUs featuring this IP can offload the host MCU, enabling longer battery run time, lower maintenance and reduced size and weight in context-aware and motion-sensing devices.
The LSM6DSRX and ISM330DHCX are ready for high-end consumer and industrial applications such as augmented reality/virtual reality (AR/VR), drone flight controls, dead-reckoning navigation systems, disk-antenna positioning systems, fleet management, container-tracking devices, and dynamic inclinometers for industrial vehicles. The consumer-grade LSM6DSRX contains a three-axis accelerometer and a three-axis digital gyroscope with extended full-scale angular-rate range up to ±4000dps and leading-edge performance in temperature and time. The industrial-grade ISM330DHCX comes with 10-year product-longevity assurance and is specified from -40 to +105 degrees C, with embedded temperature compensation for superior stability.
In each device, the MLC interacts with integrated finite-state machine (FSM) logic, which can run simple repetitive algorithms like counting steps, hits, or rotations at lower power than is possible in a microcontroller. The FSM signals to the main controller after detecting a pre-set number of events or after a defined time has elapsed.
