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6-akset IMU med indbygget maskinlærings-kapabilitet

6-akset IMU med indbygget maskinlærings-kapabilitet

TDK lancerer SmartEdgeML, der gør det muligt at køre ultra-low power maskinlærings (ML) modeller på en 6-akset IMU, så man på den måde kan bygge, test, tune og deploy ML-modeller på sensorchip niveau (in english).

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TDK Corporation announces the InvenSense SmartEdgeMLTM, an advanced edge ML solution enabling new possibilities for wearables, hearables, AR glasses, IoT, and other products that benefit from machine learning (ML) at the sensor chip level. SmartEdgeML 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.

- 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, says Sahil Choudhary, Director Motion Sensors and Software at InvenSense, a TDK Group company.

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, which include:

- SIF (sensor inference framework): SIF, the software component of SmartEdgeML, is a complete machine learning framework by TDK, 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).

- ICM-45686-S IMU: This is the hardware component of SmartEdgeML. The SmartMotion ICM-45686-S is a 2.5 x 3mm IMU from the TDK BalancedGyro family that enables ML decision tree models to be run on-chip at the lowest current consumption (< 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.

- SmartBug 2.0 (ML version): 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.

15/1 2024
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