ML Vibro Sens Click

How does it work?

ML Vibro Sens Click is a machine learning training tool based on the FXLS8974CF, a 3-axis low-g 12-bit digital accelerometer from NXP. Designed for applications requiring precise motion sensing, this Click board™ is an excellent choice for testing and training ML algorithms in both industrial and IoT environments. The FXLS8974CF offers the versatility of ultra-low-power operation alongside high-performance modes, ensuring efficient use in diverse scenarios. Its integrated digital features simplify data collection and reduce system power consumption, while its robust performance over extended temperature ranges enhances reliability in demanding applications, including industrial diagnostics, wearable technology, and environmental monitoring.

This Click board™ incorporates two DC motors to simulate vibration stimuli for machine learning: a balanced and an unbalanced motor. The BALANCED motor generates steady “nominal” vibrations, serving as a baseline signal for training ML models in a “healthy” state. On the other hand, the UNBALANCED motor is designed to provide customizable vibration signals, ranging from low-intensity to specific frequency-based vibrations. This motor is powered via the UNB signal, which supports PWM or PDM inputs, allowing precise modulation of vibration characteristics. Applying a continuous power signal to the unbalanced motor is not recommended due to its intensity, so a low-frequency, low-duty-cycle PWM signal is suggested for controlled vibration stimuli.

The BAL signal powers the balanced motor, maintaining a stable vibration environment for baseline training. Both motors are used from the IND-YZ0412J series, known for their high-frequency vibration capabilities. The board features orange LED indicators labeled BALANCED and UNBALANCED to visually indicate motor activity, which lights up when their respective motors are active.

The FXLS8974CF accelerometer is essential for ML Vibro Sens Click as it provides precise motion and vibration measurement across three axes (X, Y, Z), forming the foundation for training machine learning algorithms. It captures detailed data from the balanced and unbalanced motors, enabling the differentiation between “healthy” baseline states and anomalous conditions. With its customizable sensitivity, it supports high-performance and low-power modes, ensuring flexibility for various application needs.

The FXLS8974CF communicates with the host MCU via a standard 2-wire I2C interface, supporting clock frequencies up to 1MHz. Its I2C address can be configured through the onboard ADDR SEL jumper, offering flexibility in multi-sensor setups. Additional BT MODE jumper allows users to enable users to select between two distinct operating modes, tailoring the board’s functionality. In addition to the interface pins, the board uses the INT pin, whose behavior is determined by the setting of the BT MODE jumper.

In Default Mode (position 0), the INT pin acts as a programmable interrupt output, allowing the accelerometer to signal specific events – such as motion detection or threshold breaches – directly to the host MCU. Conversely, in Motion Detection Mode (position 1), the INT pin functions as a multifunction I/O, enabling the host MCU to configure motion detection thresholds or activate custom responses triggered by detected motion.

This Click board™ can be operated only with a 3.3V logic voltage level. The board must perform appropriate logic voltage level conversion before using MCUs with different logic levels. Also, it comes equipped with a library containing functions and an example code that can be used as a reference for further development.

Specifications

Pinout diagram

This table shows how the pinout on ML Vibro Sens Click corresponds to the pinout on the mikroBUS™ socket (the latter shown in the two middle columns).

Notes	Pin					Pin	Notes
	NC	1	AN	PWM	16	UNB	Unbalanced Motor Control
ID SEL	RST	2	RST	INT	15	INT	Interrupt
Balanced Motor Control / ID COMM	BAL	3	CS	RX	14	NC
	NC	4	SCK	TX	13	NC
	NC	5	MISO	SCL	12	SCL	I2C Clock
	NC	6	MOSI	SDA	11	SDA	I2C Data
Power Supply	3.3V	7	3.3V	5V	10	NC
Ground	GND	8	GND	GND	9	GND	Ground

Onboard settings and indicators

ML Vibro Sens Click electrical specifications

Software Support

We provide a library for the ML Vibro Sens Click as well as a demo application (example), developed using MIKROE compilers. The demo can run on all the main MIKROE development boards.

Package can be downloaded/installed directly from NECTO Studio Package Manager (recommended), downloaded from our LibStock™ or found on MIKROE github account.

Library Description

This library contains API for ML Vibro Sens Click driver.

Key functions

• mlvibrosens_get_int_pin This function returns the interrupt pin logic state.

• mlvibrosens_get_data This function reads accel X, Y, and Z axis data in g and temperature in degrees Celsius.

• mlvibrosens_set_vibro_state This function sets the vibro motors state.

Example Description

This example demonstrates the use of the ML Vibro Sens Click by capturing and logging acceleration data on the X, Y, and Z axes, along with temperature readings. The data is output
over USB UART and can be visualized in real-time using tools like SerialPlot. Additionally,
the vibro motor state changes periodically, cycling through different vibration states for
added feedback.

void application_task ( void ) 
 { 
     static uint8_t vibro_state = MLVIBROSENS_VIBRO_STATE_IDLE; 
     static uint16_t result_num = 0; 
     static mlvibrosens_data_t accel_data; 

     // Wait for a data ready interrupt 
     while ( mlvibrosens_get_int_pin ( &mlvibrosens ) ); 

     if ( MLVIBROSENS_OK == mlvibrosens_get_data ( &mlvibrosens, &accel_data ) ) 
     { 
         log_printf ( &logger, "%f;%f;%f;%d;rn", accel_data.x, accel_data.y,  
                                                   accel_data.z, accel_data.temperature );  
     } 
     if ( ++result_num > 1000 ) 
     { 
         result_num = 0; 
         if ( ++vibro_state > MLVIBROSENS_VIBRO_STATE_BOTH ) 
         { 
             vibro_state = MLVIBROSENS_VIBRO_STATE_IDLE; 
         } 
         mlvibrosens_set_vibro_state ( &mlvibrosens, vibro_state ); 
     } 
 }

The full application code, and ready to use projects can be installed directly from NECTO Studio Package Manager (recommended), downloaded from our LibStock™ or found on MIKROE github account.

Other MIKROE Libraries used in the example:

• MikroSDK.Board
• MikroSDK.Log
• Click.MLVibroSens

Additional notes and informations

Depending on the development board you are using, you may need USB UART Click, USB UART 2 Click or RS232 Click to connect to your PC, for development systems with no UART to USB interface available on the board. UART terminal is available in all MIKROE compilers.

mikroSDK

This Click board™ is supported with mikroSDK – MIKROE Software Development Kit. To ensure proper operation of mikroSDK compliant Click board™ demo applications, mikroSDK should be downloaded from the LibStock and installed for the compiler you are using.

For more information about mikroSDK, visit the official page.