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