The Machine Learning Core (MLC) is an hardware processing engine embedded in the sensor and capable to run Machine Learning algorithms based on Decision Trees classifiers. The MLC enables a reduction of the overall system power consumption because th...
Machine Learning Core (MLC) is an hard-wired core in the ASIC of the sensor with the function of developing artificial intelligence algorithms. The enormous advantage is the reduction of the overall system power consumption because some events detect...
In this article we explain how an application based on the SensorTile.box has been able to detect an earthquake of magnitude 4.3 on Mount Etna in December 23, 2021. Article created by Rosario CataniaTable of Contents IntroductionAbout SensorTile.bo...
This article describes how to use the Machine Learning Core (MLC) configuration in the ST MEMS sensors that can be found on the STWIN evaluation board. This example shows how MLC functionality embedded in ISM330DHCX can be used for fan rack condition...
This article describes how to configure the Machine Learning Core (MLC) on IIS2ICLX to implement the detection of the tilt angle, i.e. the current inclination of the device, in the range of -20 to +20 degrees. The hardware used is the ProfiMEMS with ...
This article deals with the implementation of a simple machine learning case (the recognition of the state of a door) on the LSM6DSOX core of the SensorTile.box, and the visualization of the output of the decision tree on the STBLE Sensor smartphone ...
To recognize the different patterns of the UI applications, both an algorithm running on a microcontroller or a finite state machine (FSM) running directly on the sensor (when available) can be used. This article gives some configuration examples for...
This article describes how to build acoustical neural networks by taking advantage of the physical properties of microphone data to extract information relevant to such classification tasks, and it will show how to perform sound recognition with Qeex...
This article describes how to build basic Air Gesture recognition with the embedded Machine learning capabilities of the SensorTile.box and the third part platform Qeexo AutoML, exploiting the embedded Machine Learning Core (MLC) feature of the onboa...
In industrial environments, it is often important to be able to recognize when a machine needs to be serviced before the machine experiences a critical failure. This type of problem is often called predictive maintenance. In this tutorial, we are sol...
How to create a Yoga pose recognition application using Sensortile.box1 - Introduction The Yoga Pose recognition algorithm described here is intended for wearable devices, since all the data logs have been acquired with the device placed on the left...
This article is for people who are used to develop their applications using the Arduino IDE but who are not familiar yet with how to use ST products in the Arduino world. This concept combines the best performance hardware with an easy Arduino IDE fo...
Motion Magnetic Sensor library application and functions in X-CUBE-MEMS1 1. Motion Magnetic Sensor library The description of MotionMC library for the magnetic sensor calibration gives the opportunity to get a more detailed overview on the magnetic ...
Motion e-Compass library application and functions in X-CUBE-MEMS11. Motion e-Compass library Among the wide portfolio of ST sensors, the E-Compass is a proof of a well-done sensor integration. This library acquires data from the accelerometer and m...
Motion Active Time Library application and functions in X-CUBE-MEMS11. Motion Active Time Library In some real cases, it is important to know in real-time how long an activity lasts, and if the activity is running in a particular moment. MotionAT ...
Motion Activity Recognition library application and functions in X-CUBE-MEMS11. Motion Activity Recognition library Activity recognition is one of the most common and requested in nowadays personal electronics landscape, especially as regards the we...
Motion Automatic Calibration Library application and functions in X-CUBE-MEMS11.Motion Automatic Calibration Library Let's start this diving into the FW libraries for ST motion MEMS sensors with the first one: Motion Automatic Calibration (MotionAC)...
The X-CUBE-MEMS1 expansion software - MEMS drivers family1. MEMS drivers family overview Although this article series will be mainly focused on the library package X-CUBE-MEMS1 and on the related motion algorithms, it's worth spending a few words o...
The X-CUBE-MEMS1 expansion software package - test utilities1. BSP for sensor expansion board This software is based on the STM32CubeHAL hardware abstraction layer for the STM32 microcontroller. The package extends STM32Cube by providing a board sup...
The X-CUBE-MEMS1 expansion software package - an overview1. X-CUBE-MEMS1 expansion software package The X-CUBE-MEMS1 expansion software package for STM32Cube is a library package we already encountered in a past series of posts, running on the STM32...