A new evaluation platform streamlines inertial sensor design with AI-driven analytics, real-time visualisation, and automated workflows—cutting complexity and accelerating time-to-market for next-generation smart and connected devices.
A new software evaluation platform from TDK Corporation is aiming to simplify and accelerate inertial sensor development by bringing analytics, visualization, and workflow automation into a single environment.
The platform provides a unified interface for evaluating MEMS-based inertial measurement units (IMUs) and magnetometers, enabling engineers to analyse sensor performance, embedded algorithms, and power consumption in real time. By integrating prebuilt sensing features and automated workflows, it reduces the traditionally complex and expertise-heavy process of IMU development.
The key features are:
- nified evaluation platform for IMUs and magnetometers
- Real-time visualisation of sensor data and on-chip algorithms
- Built-in machine learning, sensor fusion, and motion detection support
- Automated workflows with scripting for faster testing and analysis
- Advanced calibration tools with power-performance optimisation insights
Designed to work alongside development hardware, the solution allows users to visualise advanced on-chip capabilities such as machine learning algorithms, motion detection, and sensor fusion techniques. This enables faster calibration, parameter tuning, and system optimisation for applications ranging from wearables to industrial and automotive systems.
A key highlight is its ability to support rapid iteration through customisable workflows, including scripting-based automation for testing and data processing. Engineers can quickly compare sensor configurations, analyse trade-offs like power versus performance, and shorten design cycles that typically require multiple tools or complex test setups.
The platform also incorporates advanced visual analytics, including real-time plotting and 3D data visualisation, enabling immediate insights into sensor behaviour. Combined with a scalable architecture, it is designed to support both current and next-generation sensing solutions, making it suitable for evolving edge AI and IoT applications.
By bridging the gap between basic GUI tools and custom-built evaluation systems, the software reduces development overhead while improving accuracy and efficiency. The result is a streamlined path from sensor evaluation to product deployment, particularly for complex motion-sensing applications.
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