MIKROE, a leader in embedded solutions that streamline development with innovative hardware and software, has unveiled the ML Vibro Sens Click, a compact add-on board designed for advanced motion and vibration sensing. Built around NXP’s FXLS8974CF 3-axis low-g accelerometer, this Click board™ is optimized for developing and training machine learning (ML) models focused on vibration analysis.
A New Standard for Vibration-Based ML Models
According to Nebojsa Matic, CEO of MIKROE, “ML Vibro Sens Click is the latest addition to our 1,750-strong mikroBUS™-enabled Click board™ lineup. It provides an efficient solution for collecting data to train ML models to recognize different vibration patterns, ensuring improved monitoring of machine health and industrial equipment. Additionally, it’s versatile enough to track motion in wearables or detect seismic activity.”
The board’s capabilities allow for a broad spectrum of applications, including:
- Industrial Diagnostics: Monitoring machine health through vibration patterns.
- Wearable Technology: Tracking motion and activity in fitness or medical devices.
- Environmental Monitoring: Detecting seismic vibrations or other environmental shifts.
Powered by NXP’s FXLS8974CF
At the heart of the ML Vibro Sens Click is the FXLS8974CF, a 3-axis low-g accelerometer that combines ultra-low power consumption with high-performance modes. Key features include:
- Efficient Operation: Supports diverse applications with ultra-low power and high-performance configurations.
- Integrated Digital Features: Simplifies data collection while reducing overall system power usage.
- Robust Performance: Operates reliably over extended temperature ranges, suitable for demanding environments.
The FXLS8974CF accelerometer communicates seamlessly with the host microcontroller via a standard 2-wire I2C interface, ensuring compatibility with a variety of systems.
Simulating Vibration Stimuli
To enhance ML model development, the ML Vibro Sens Click integrates two DC motors that simulate various vibration patterns:
- Balanced Motor: Generates consistent, nominal vibrations to serve as a baseline for training ML models on healthy machine states.
- Unbalanced Motor: Produces customizable vibration signals, including frequency-specific stimuli, enabling anomaly detection and advanced training scenarios.
Data captured by the FXLS8974CF differentiates between baseline (healthy) vibrations and anomalous conditions, empowering developers to create precise and reliable ML models for real-world diagnostics and monitoring.
Conclusion
MIKROE’s ML Vibro Sens Click represents a significant step forward for vibration sensing and ML model development. With its robust hardware, versatility, and integration of NXP’s FXLS8974CF accelerometer, the Click board™ is a valuable tool for a wide range of industries, from industrial diagnostics to wearable technology and environmental monitoring.
For more information about the ML Vibro Sens Click, visit MIKROE’s website.
