TDK Announces Availability of SmartBug™ 2.0 – An All-in-one Smarter Multi-sensor Wireless Module with ICM-45686-S BalancedGyro™ IMU Platform

时间： 2023-07-03 来源：TDK InvenSense News

技术问答

Reading Points:

multi-sensor wireless module solution with ICM-45686-S BalancedGyro™ IMU platform
Machine learning enabled – to build, test, and deploy ML models on the IMU
Head tracking solution added for TWS (true wireless stereo) and AR/VR/MR glass solutions

June 21, 2023——TDK Corporation announces market availability of the InvenSense SmartBug 2.0, an all-in-one multi-sensor wireless solution with new features for consumer and IoT applications. SmartBug 2.0 is a smart remote data-collection module for IoT, developed after the success of the original SmartBug in 2019. The SmartBug 2.0 is available in two versions – a standard version and a machine learning version allowing customers and partners to evaluate TDK sensor performance under different use cases or to use it as a wireless data collector/tester with TDK machine learning software. Customers can switch between the two flavors through a firmware update. In addition, existing expansion boards offering Wi-Fi, SD card, and ultrasonic sensor support will work with SmartBug 2.0.

A key attribute of the SmartBug 2.0 is the replacement of the ICM-42688-P IMU with ICM-45686-S, the latest BalancedGyro™ IMU and the world’s lowest power IMU (220µA @ 50Hz 6-Axis) from TDK. BalancedGyro™ technology enables developers to collect high-quality IMU data for a longer period of time, due to the 3x battery life. The new IMU also provides premium temperature stability and vibration rejection, making SmartBug 2.0 useful for products such as AR glasses, VR, OIS, drones, MR, TWS, and robotics for prototyping, data collection, and machine learning-based algorithm development.

Key features and advantages of SmartBug 2.0:

Machine Learning: SmartBug 2.0’s key feature is the introduction of machine learning (ML) capabilities. Developers, ODMs, OEMs, and product developers can now use SmartBug 2.0 along with the sensor inference framework (SIF) by TDK to build machine-learning solutions for the ICM-45686-S IMU. SIF is an all-in-one comprehensive software by TDK that enables users to collect IMU sensor data, select custom features, build ML models, test performance, deploy, and run those models on the ICM-456xy IMU through SmartBug 2.0. Examples include algorithms such as exercise classification (squats, jumping jacks, lateral raises, or push-ups) and wrist gesture classification (fight, clench, shake, or still mode

Head Tracking solution: SmartBug 2.0 adds support for VibeSense360™, TDK’s head tracking solution for TWS and AR applications. SmartBug 2.0 facilitates TWS and audio companies’ ability to collect raw sensor and head orientation data at the lowest power (280µA at 50Hz) and learn unique signatures about enabling spatial audio.

Air Motion solution: SmartBug 2.0 enhances TDK’s Air Motion solution by adding swipe gestures, remote orientation gestures, and accurate cursor tracking for smart TV remotes

Data collection improvements: SmartBug 2.0 has updated streaming and logging parameters to enable longer duration streaming and logging of multi-sensor and algorithm data

Glossary

TWS: True wireless stereo

AR: Augmented reality

VR: Virtual reality

MR: Mixed reality

IMU: Inertial measurement unit

IoT: Internet of Things

ML: Machine learning

Main applications

TWS

Wearables

AR/VR/MR glasses

IoT

Main features and benefits

Supports ICM-45686-S IMU, the lowest power IMU from the BalanceGyro™ Family with on-chip sensor fusion

Builds, deploys, and tests machine learning algorithms on ICM-45686-S IMU

Supports evaluation of TDK’s VibeSense360 solution for TWS

Out-of-the-box, one-size-fits-all solution

Sensors: IMU, magnetometer, pressure, temperature, humidity, and ultrasonic

Arm Cortex M4 MCU

Wireless connectivity: BLE and WIFI

Rechargeable battery (290mAh)

USB interface

Wireless multi-sensor and multi-algorithm data streaming and logging using a Win 10 GUI

Autonomous data logging from multiple sensors on an SD card

Embedded motion sensor events such as Tap, Tilt, Raise to Wake, Pedometer, Wake on Motion

Dedicated sensor algorithm output data for multiple IoT applications

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