Summary In this knowledge article, I will show you how you can easily implement accurate in-sensor inclination monitoring applications with an IMU featuring an embedded intelligent sensor processing unit (ISPU). This intelligent sensor, ISM330IS, ca...
Summary The article introduces how to implement the adaptive self-configuration (ASC) function using the machine learning core (MLC) and finite state machine (FSM). The FSM automatically configures the sensor based on the detection of a specific mot...
Summary This knowledge article explains how you can easily implement accurate in-sensor vibration-monitoring applications with an IMU featuring an embedded intelligent sensor processing unit (ISPU). This intelligent ISM330IS sensor can implement sli...
1. Demo Functionality and definition In this demonstration, a remote-control (RC) car is used instead of an actual car, and the MLC and FSM embedded in ST's 6-axis MEMS sensor detect the inertial frame of reference of the vehicle in real time. The f...
Which sensors can be chosen for liquid level monitoring?Other sensors than the VL53L4CD and VL53L5CX presented during the webinar can be used (VL53L0X, VL53L3CX), but performances are not as good as VL53L4CD. Example code, API, and drivers have to be...
In this knowledge article we will show how you can use the in the edge functionalities of the LSM6DSV16X leveraging our Unico-GUI software tool to obtain a sequence of smart wakeup, device reconfiguration and finally spatial motion tracking.Before st...
This article describes embedded programmable features built-in in some ST MEMS motion sensors, specifically Finite State Machine (FSM), Machine Learning Core (MLC), and Intelligent Sensor Processing Unit (ISPU). 1. Introduction ST MEMS motion sensors...
1. Introduction There are getting to be many Time-of-Flight sensors, and although there is a product selection page at www.ST.com/TimeOfFlight it can be a bit of a challenge.So let me introduce each sensor grouping them by their most significant attr...
Easily create your proof of concept with ST’s intelligent sensors and explore key building blocks to enable reliable, low latency avatars. In this knowledge article you will understand how you can successfully transfer real movements into your avatar...
Easily create your proof of concept with ST’s intelligent sensors and explore key building blocks to enable reliable, low latency avatars. In this knowledge article you will understand how you can successfully transfer real movements into your avatar...
ILPS22QS absolute pressure sensor is made for measuring pressure in industrial applications. We will go through parameters which make this sensor optimal for monitoring pressure in harsh environments and see a demonstration of utilization of this sen...
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...
