TL;DR:
- TDK unveils the InvenSense SmartBug 2.0, an all-in-one multi-sensor wireless module for consumer and IoT applications.
- SmartBug 2.0 offers two versions, including a machine learning variant, providing flexibility and evaluation options.
- The latest BalancedGyro™ IMU in SmartBug 2.0 ensures extended battery life and premium stability for high-quality IMU data.
- Key features include machine learning capabilities, head tracking solutions, air motion enhancements, and improved data collection parameters.
- SmartBug 2.0 is available for evaluation now, with mass availability expected by the end of August.
Main AI News:
In a recent announcement, TDK Corporation introduced the highly anticipated InvenSense SmartBug 2.0, a cutting-edge all-in-one multi-sensor wireless solution tailored for consumer and Internet of Things (IoT) applications. Building upon the success of its predecessor, the original SmartBug launched in 2019, the SmartBug 2.0 takes remote data collection to new heights with its advanced features and functionalities. This innovative smart module is set to revolutionize the IoT landscape.
The SmartBug 2.0 is available in two variants: the standard version and the machine learning version. This allows customers and partners to assess the performance of TDK sensors across diverse use cases or utilize it as a wireless data collector/tester in conjunction with TDK’s machine learning software. By means of a firmware update, users can seamlessly switch between the two versions, offering unmatched versatility and adaptability. Furthermore, existing expansion boards that support Wi-Fi, SD card, and ultrasonic sensor functionalities will seamlessly integrate with the SmartBug 2.0, ensuring compatibility and ease of use.
One of the standout features of the SmartBug 2.0 is the upgraded IMU (Inertial Measurement Unit). TDK has replaced the ICM-42688-P IMU with the latest ICM-45686-S BalancedGyro™ IMU, which boasts the lowest power consumption in the world (220 µA @ 50 Hz 6-Axis). This groundbreaking technology empowers developers to gather high-quality IMU data over extended periods of time, thanks to its impressive threefold increase in battery life.
Moreover, the new IMU offers superior temperature stability and vibration rejection, making the SmartBug 2.0 an ideal choice for a wide range of products such as AR glasses, virtual reality (VR) devices, optical image stabilization (OIS) systems, drones, mixed reality (MR) devices, true wireless stereo (TWS) earbuds, and robotics. It is a valuable asset for prototyping, data collection, and the development of machine learning-based algorithms.
Let’s delve into the key features and advantages of the SmartBug 2.0:
- Machine Learning: The SmartBug 2.0 introduces advanced machine learning (ML) capabilities. Developers, original design manufacturers (ODMs), original equipment manufacturers (OEMs), and product developers can leverage the SmartBug 2.0 along with TDK’s sensor inference framework (SIF) to build ML solutions for the ICM-45686-S IMU. TDK’s SIF is a comprehensive software package that empowers 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 the SmartBug 2.0. Examples of ML algorithms include exercise classification (e.g., squats, jumping jacks, lateral raises, or push-ups) and wrist gesture classification (e.g., fight, clench, shake, or still mode).
- Head Tracking Solution: The SmartBug 2.0 extends its support to VibeSense360™, TDK’s state-of-the-art head tracking solution designed for true wireless stereo (TWS) and augmented reality (AR) applications. By efficiently collecting raw sensor and head orientation data with the lowest power consumption (280 µA at 50 Hz), the SmartBug 2.0 enables TWS and audio companies to gain valuable insights and unlock the full potential of spatial audio.
- Air Motion Solution: With SmartBug 2.0, TDK has further enhanced its Air Motion solution by introducing swipe gestures, remote orientation gestures, and highly accurate cursor tracking for smart TV remotes. These advancements will undoubtedly redefine the way users interact with their smart televisions, delivering an enhanced user experience.
- Data Collection Improvements: The SmartBug 2.0 boasts updated streaming and logging parameters, enabling extended duration streaming and logging of multi-sensor and algorithm data. This improvement facilitates comprehensive data collection, providing researchers and developers with invaluable information for analysis and optimization.
The TDK SmartBug 2.0 is now available for evaluation, with widespread availability through distribution channels expected by the end of August. To showcase the full potential of this groundbreaking multi-sensor wireless solution, TDK will be demonstrating the SmartBug 2.0 at the upcoming Sensors Converge 2023 event. Visitors can explore the capabilities of the SmartBug 2.0 at booth #992 in the Santa Clara Convention Center from June 20 to 23, 2023. During the event, TDK will showcase a wide range of sensor system solutions, catering to various applications in the automotive, consumer, health, industrial, machine learning, and robotics sectors. These solutions come from multiple TDK product brands, including InvenSense, Micronas, Qeexo, and Trusted Positioning.
Conclusion:
The introduction of TDK’s SmartBug 2.0 brings significant advancements to the market of multi-sensor wireless modules. With its machine learning capabilities, enhanced IMU technology, and expanded functionalities such as head tracking and air motion solutions, SmartBug 2.0 sets a new standard for IoT applications. Its versatility, performance, and compatibility with existing expansion boards make it an attractive choice for developers, OEMs, and product developers. TDK’s commitment to innovation and the demonstrated potential of SmartBug 2.0 reinforce its position as a leading provider of sensor system solutions across various industries. The market can expect a surge of interest and adoption as SmartBug 2.0 empowers businesses to unlock the full potential of IoT and advance their product offerings in the evolving landscape of consumer and industrial applications.
