SmartEdgeML tool adds machine learning models to 6-axis IMU
TDK has launched a machine learning development tool for a new 6 axis inertial measurement unit (IMU) device and module.
The InvenSense SmartEdgeML helps developers adds decision tree machine learning models to wearables, hearables, AR glasses, IoT, and other products at the IMU sensor chip level and is the first solution to generate and run machine learning models on a 2.5 x 3mm 6-axis motion sensor IMU at < 30 µA.
The ML development tool, new IMU sensor and module are all launched at CES 2024 in Las Vegas this week.
“TDK’s SmartEdgeML is a paradigm shift in edge machine learning, as it will allow developers, ODMs, and OEMs to implement ML-optimized motion sensor algorithms on an IMU sensor chip. This reduces the amount of raw data going to edge processors, which significantly improves device battery life, data privacy, and system latency,” said Sahil Choudhary, Director Motion Sensors and Software at InvenSense.
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TDK also announces the availability of the InvenSense SmartBug 2.0 (MD-45686-ML), a multi-sensor wireless module consisting of the InvenSense ICM-45686-S IMU. This module works as the perfect evaluation system for users to get started with the InvenSense SIF and the ICM-45686-S IMU. The SIF is now available for download, while the MD-45686-ML and ICM-45686-S will be available at distributors by February 1, 2024.
There are three components of SmartEdgeML.
The SIF (sensor inference framework) is the software component, providing a one-stop-shop for users to collect IMU sensor data, select custom features, build ML models, test ML performance, deploy, and run those models on the ICM-45686-S IMU through the SmartBug 2.0. Tested examples include algorithms such as exercise classification (squats, jumping jacks, lateral raises, or push-ups) and wrist gesture classification (fight, turn, shake, or still).
The ICM-45686-S IMU is the hardware component. The 2.5 x 3mm IMU from the TDK BalancedGyro family enables ML decision tree models to be run on-chip with a current consumption under 30 µA. This new IMU provides premium temperature stability and vibration rejection, making it optimal for applications such as AR glasses, VR, OIS, drones, TWS, and robotics that need a combination of high-performance and ultra-low power machine learning algorithms.
The MD-45686-ML is an all-in-one multi-sensor wireless module that comes with the ICM-45686-S 6-axis motion sensor and is compatible with the SIF. The small form factor and BLE + USB interface of SmartBug 2.0 allows users to get started quickly with SIF so they can move easily from data collection to building ML models, to deploying on the ICM-45686-S IMU. This is the go-to device for getting started with SmartEdgeML.
invensense.tdk.com/smartedgeml
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