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Hands-on in more than 50 projects STM32 Nucleo family of processors are manufactured by STMicroelectronics. These are low-cost ARM microcontroller development boards. This book is about developing projects using the popular STM32CubeIDE software with the Nucleo-L476RG development board. In the early Chapters of the book the architecture of the Nucleo family is briefly described. The book covers many projects using most features of the Nucleo-L476RG development board where the full software listings for the STM32CubeIDE are given for each project together with extensive descriptions. The projects range from simple flashing LEDs to more complex projects using modules, devices, and libraries such as GPIO, ADC, DAC, I²C, SPI, LCD, DMA, analogue inputs, power management, X-CUBE-MEMS1 library, DEBUGGING, and others. In addition, several projects are given using the popular Nucleo Expansion Boards. These Expansion Boards plug on top of the Nucleo development boards and provide sensors, relays, accelerometers, gyroscopes, Wi-Fi, and many others. Using an expansion board together with the X-CUBE-MEMS1 library simplifies the task of project development considerably. All the projects in the book have been tested and are working. The following sub-headings are given for each project: Project Title, Description, Aim, Block Diagram, Circuit Diagram, and Program Listing for the STM32CubeIDE. In this book you will learn about STM32 microcontroller architecture; the Nucleo-L476RG development board in projects using the STM32CubeIDE integrated software development tool; external and internal interrupts and DMA; DEBUG, a program developed using the STM32CubeIDE; the MCU in Sleep, Stop, and in Standby modes; Nucleo Expansion Boards with the Nucleo development boards. What you need a PC with Internet connection and a USB port; STM32CubeIDE software (available at STMicroelectronics website free of charge) the project source files, available from the book’s webpage hosted by Elektor; Nucleo-L476RG development board; simple electronic devices such as LEDs, temperature sensor, I²C and SPI chips, and a few more; Nucleo Expansion Boards (optional).

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Le kit "SensorTile.box" est une carte multi-capteurs portable, montée dans un boîtier plastique et développée par STMicroelectronics. Elle est équipée d'un processeur 32-bit ARM Cortex-M4 haute performance avec DSP et FPU et plusieurs modules de capteurs tels qu'un accéléromètre, un gyroscope, un capteur de température, d'humidité, de pression atmosphérique, d'un micro, etc. Le kit SensorTile.box est prêt à l'emploi avec une connectivité sans-fil IoD et BlueTooth qui peut communiquer facilement avec un smartphone compatible Android ou iOS, quelque que soit le niveau de connaissance de l'utilisateur. Le kit SensorTile.box est livré avec une batterie longue durée et tout ce que doit faire l'utilisateur est de brancher la batterie au circuit pour commencer à utiliser ce kit. Capteurs Inclus Température Accéléromètre 3-axes Magnétomètre 3-axes Accélération & Gyroscope 3-axes (Inertie 6-axes) Humidité Altimètre/Pression Microphone Périphériques Inclus Bluetooth Chargeur Li-Ion Convertisseur DC-DC Batterie Li-Ion 500 mAh

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Easy and Affordable Digital Signal Processing The aim of this book is to teach the basic principles of Digital Signal Processing (DSP) and to introduce it from a practical point of view using the bare minimum of mathematics. Only the basic level of discrete-time systems theory is given, sufficient to implement DSP applications in real time. The practical implementations are described in real time using the highly popular ESP32 DevKitC microcontroller development board. With the low cost and extremely popular ESP32 microcontroller, you should be able to design elementary DSP projects with sampling frequencies within the audio range. All programming is done using the popular Arduino IDE in conjunction with the C language compiler. After laying a solid foundation of DSP theory and pertinent discussions on the main DSP software tools on the market, the book presents the following audio-based sound and DSP projects: Using an I²S-based digital microphone to capture audio sound Using an I²S-based class-D audio amplifier and speaker Playing MP3 music stored on an SD card through an I²S-based amplifier and speaker Playing MP3 music files stored in ESP32 flash memory through an I²S-based amplifier and speaker Mono and stereo Internet radio with I²S-based amplifiers and speakers Text-to-speech output with an I²S-based amplifier and speaker Using the volume control in I²S-based amplifier and speaker systems A speaking event counter with an I²S-based amplifier and speaker An adjustable sinewave generator with I²S-based amplifier and speaker Using the Pmod I²S2 24-bit fast ADC/DAC module Digital low-pass and band-pass real-time FIR filter design with external and internal A/D and D/A conversion Digital low-pass and band-pass real-time IIR filter design with external and internal A/D and D/A conversion Fast Fourier Transforms (FFT)

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Introduction à la programmation des PLC avec OpenPLC, le premier contrôleur logique programmable entièrement open source utilisé avec le Raspberry Pi, et exemples de Modbus avec Arduino Uno et ESP8266. La programmation de contrôleurs logiques programmables est très courante dans l'industrie et la domotique. Ce livre décrit comment le Raspberry Pi 4 peut être utilisé comme un contrôleur logique programmable. Avant de s'attaquer à la programmation, l'auteur commence par expliquer l'installation du logiciel sur le Raspberry Pi et de l'éditeur de PLC sur le PC, puis il décrit le matériel. Vous trouverez ensuite des exemples intéressants dans les différents langages de programmation conformes à la norme IEC 61131-3. Ce manuel explique également en détail comment utiliser l'éditeur de PLC et comment charger et exécuter les programmes sur le Raspberry Pi. Tous les langages DEfinis dans la norme CEI sont expliqués à l'aide d'exemples, des schémas à contacts (Ladder Diagram) au SFC (Special Function Chart) en passant par le ST (Structured Control Language). Tous les exemples peuvent être téléchargés sur le site Web de l'auteur. La communication réseau fait également l'objet d'une attention particulière. L'Arduino Uno et l'ESP8266 sont programmés comme des modules ModbusRTU ou ModbusTCP pour accéder à des périphériques externes, lire des capteurs et commuter des charges électriques. Les circuits d'E/S conformes à la norme industrielle 24 V pourront retenir votre attention. Le livre se termine par un aperçu des commandes pour ST et LD. Après avoir lu le livre, vous serez en mesure de réaliser vos propres contrôleurs avec le Raspberry Pi.

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The Internet of Things is rapidly gaining interest, and that has fueled the development of the Edison. A tiny computer, the size of a postage stamp, with a lot of power and built-in wireless communication capabilities. In this eBook we will help you get up-to-speed with the Edison, by installing the software both on the Edison as well as on your Windows PC. We will use the Edison Arduino break-out board because it is easy to work with. We will discuss Linux, Arduino C++ and Python, and show examples of how the Edison can interface with other hardware. We will use Wi-Fi and Bluetooth to set up wireless connections, and show you a trick to program sketches over Wi-Fi. Once you have completed this book your Edison will be up and running with the latest software version, and you will have sufficient knowledge of both hardware and software to start making your own applications. You will even be able to program the Edison over USB and wireless both in Arduino C++ and Python. This is not a projects eBook, but a toolbox that will allow you to explore the wonderful world of the Intel Edison!

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A Beginner's Guide to AI and Edge Computing Artificial Intelligence (AI) is now part of our daily lives. With companies developing low-cost AI-powered hardware into their products, it is now becoming a reality to purchase AI accelerator hardware at comparatively very low costs. One such hardware accelerator is the Hailo module which is fully compatible with the Raspberry Pi 5. The Raspberry Pi AI Kit is a cleverly designed hardware as it bundles an M.2-based Hailo-8L accelerator with the Raspberry Pi M.2 HAT+ to offer high speed inferencing on the Raspberry Pi 5. Using the Raspberry Pi AI Kit, you can build complex AI-based vision applications, running in real-time, such as object detection, pose estimation, instance segmentation, home automation, security, robotics, and many more neural network-based applications. This book is an introduction to the Raspberry Pi AI Kit, and it is aimed to provide some help to readers who are new to the kit and wanting to run some simple AI-based visual models on their Raspberry Pi 5 computers. The book is not meant to cover the detailed process of model creation and compilation, which is done on an Ubuntu computer with massive disk space and 32 GB memory. Examples of pre-trained and custom object detection are given in the book. Two fully tested and working projects are given in the book. The first project explains how a person can be detected and how an LED can be activated after the detection, and how the detection can be acknowledged by pressing an external button. The second project illustrates how a person can be detected, and how this information can be passed to a smart phone over a Wi-Fi link, as well as how the detection can be acknowledged by sending a message from the smartphone to your Raspberry Pi 5.

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Traitement du signal numérique simple et abordable Le but de cet ouvrage est d'enseigner les principes de base du Traitement Numérique du Signal (DSP) et de l'introduire d'un point de vue pratique en utilisant le strict minimum de mathématiques. Seul le niveau de base de la théorie des systèmes à temps discret est donné, suffisant pour implémenter des applications DSP en temps réel. Les implémentations pratiques sont décrites en temps réel à l'aide de la très populaire carte de développement de microcontrôleur ESP32 DevKitC. Avec le microcontrôleur ESP32, peu coûteux et extrêmement populaire, vous devriez être en mesure de concevoir des projets DSP élémentaires avec des fréquences d'échantillonnage comprises dans la plage audio. Toute la programmation est effectuée à l'aide du populaire IDE Arduino en conjonction avec le compilateur en langage C. Après avoir posé une base solide de la théorie DSP et des discussions pertinentes sur les principaux outils logiciels DSP du marché, le livre présente les projets audio et DSP suivants : Utilisation d'un microphone numérique basé sur I²S pour capturer le son audio Utilisation d'un amplificateur audio et d'un haut-parleur de classe D basés sur I²S Lecture de musique MP3 stockée sur une carte SD via un amplificateur et un haut-parleur basés sur I²S Lecture de fichiers de musique MP3 stockés dans la mémoire flash ESP32 via un amplificateur et un haut-parleur basés sur I²S Radio Internet mono et stéréo avec amplificateurs et haut-parleurs basés sur I²S Sortie de synthèse vocale avec un amplificateur et un haut-parleur basés sur I²S Utilisation du contrôle du volume dans les systèmes d'amplificateurs et de haut-parleurs basés sur I²S Un compteur d'événements parlants avec un amplificateur et un haut-parleur basés sur I²S Un générateur d'onde sinusoïdale réglable avec amplificateur et haut-parleur basés sur I²S Utilisation du module ADC/DAC rapide 24 bits Pmod I²S2 Conception de filtre FIR numérique passe-bas et passe-bande en temps réel avec conversion A/D et D/A externe et interne Conception de filtre IIR numérique passe-bas et passe-bande en temps réel avec conversion A/D et D/A externe et interne Transformations de Fourier rapides (FFT)

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STmicroelectronics’ wireless IoT & wearable sensor development kit ‘SensorTile.box’ is a portable multi-sensor circuit board housed in a plastic box and developed by STMicroelectronics. It is equipped with a high-performance 32-bit ARM Cortex-M4 processor with DSP and FPU, and various sensor modules, such as accelerometer, gyroscope, temperature sensor, humidity sensor, atmospheric pressure sensor, microphone, and so on. SensorTile.box is ready to use with wireless IoT and Bluetooth connectivity that can easily be used with an iOS or Android compatible smartphone, regardless of the level of expertise of the users. SensorTile.box is shipped with a long-life battery and all the user has to do is connect the battery to the circuit to start using the box. The SensorTile.box can be operated in three modes: Basic mode, Expert mode, and Pro mode. Basic mode is the easiest way of using the box since it is pre-loaded with demo apps and all the user has to do is choose the required apps and display or plot the measured data on a smartphone using an app called STE BLE Sensor. In Expert mode users can develop simple apps using a graphical wizard provided with the STE BLE Sensor. Pro mode is the most complex mode allowing users to develop programs and upload them to the SensorTile.box. This book is an introduction to the SensorTile.box and includes the following: Brief specifications of the SensorTile.box; description of how to install the STE BLE Sensor app on an iOS or Android compatible smartphone required to communicate with the box. Operation of the SensorTile.box in Basic mode is described in detail by going through all of the pre-loaded demo apps, explaining how to run these apps through a smartphone. An introduction to the Expert mode with many example apps developed and explained in detail enabling users to develop their own apps in this mode. Again, the STE BLE Sensor app is used on the smartphone to communicate with the SensorTile.box and to run the developed apps. The book then describes in detail how to upload the sensor data to the cloud. This is an important topic since it allows the sensor measurements to be accessed from anywhere with an Internet connection, at any time. Finally, Pro mode is described in detail where more experienced people can use the SensorTile.box to develop, debug, and test their own apps using the STM32 open development environment (STM32 ODE). The Chapter explains how to upload the developed firmware to the SensorTile.box using several methods. Additionally, the installation and use of the Unicleo-GUI package is described with reference to the SensorTile.box. This PC software package enables all of the SensorTile.box sensor measurements to be displayed or plotted in real time on the PC.

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Build your own AI microcontroller applications from scratch The MAX78000FTHR from Maxim Integrated is a small development board based on the MAX78000 MCU. The main usage of this board is in artificial intelligence applications (AI) which generally require large amounts of processing power and memory. It marries an Arm Cortex-M4 processor with a floating-point unit (FPU), convolutional neural network (CNN) accelerator, and RISC-V core into a single device. It is designed for ultra-low power consumption, making it ideal for many portable AI-based applications. This book is project-based and aims to teach the basic features of the MAX78000FTHR. It demonstrates how it can be used in various classical and AI-based projects. Each project is described in detail and complete program listings are provided. Readers should be able to use the projects as they are, or modify them to suit their applications. This book covers the following features of the MAX78000FTHR microcontroller development board: Onboard LEDs and buttons External LEDs and buttons Using analog-to-digital converters I²C projects SPI projects UART projects External interrupts and timer interrupts Using the onboard microphone Using the onboard camera Convolutional Neural Network

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STmicroelectronics’ wireless IoT & wearable sensor development kit ‘SensorTile.box’ is a portable multi-sensor circuit board housed in a plastic box and developed by STMicroelectronics. It is equipped with a high-performance 32-bit ARM Cortex-M4 processor with DSP and FPU, and various sensor modules, such as accelerometer, gyroscope, temperature sensor, humidity sensor, atmospheric pressure sensor, microphone, and so on. SensorTile.box is ready to use with wireless IoT and Bluetooth connectivity that can easily be used with an iOS or Android compatible smartphone, regardless of the level of expertise of the users. SensorTile.box is shipped with a long-life battery and all the user has to do is connect the battery to the circuit to start using the box. The SensorTile.box can be operated in three modes: Basic mode, Expert mode, and Pro mode. Basic mode is the easiest way of using the box since it is pre-loaded with demo apps and all the user has to do is choose the required apps and display or plot the measured data on a smartphone using an app called STE BLE Sensor. In Expert mode users can develop simple apps using a graphical wizard provided with the STE BLE Sensor. Pro mode is the most complex mode allowing users to develop programs and upload them to the SensorTile.box. This book is an introduction to the SensorTile.box and includes the following: Brief specifications of the SensorTile.box; description of how to install the STE BLE Sensor app on an iOS or Android compatible smartphone required to communicate with the box. Operation of the SensorTile.box in Basic mode is described in detail by going through all of the pre-loaded demo apps, explaining how to run these apps through a smartphone. An introduction to the Expert mode with many example apps developed and explained in detail enabling users to develop their own apps in this mode. Again, the STE BLE Sensor app is used on the smartphone to communicate with the SensorTile.box and to run the developed apps. The book then describes in detail how to upload the sensor data to the cloud. This is an important topic since it allows the sensor measurements to be accessed from anywhere with an Internet connection, at any time. Finally, Pro mode is described in detail where more experienced people can use the SensorTile.box to develop, debug, and test their own apps using the STM32 open development environment (STM32 ODE). The Chapter explains how to upload the developed firmware to the SensorTile.box using several methods. Additionally, the installation and use of the Unicleo-GUI package is described with reference to the SensorTile.box. This PC software package enables all of the SensorTile.box sensor measurements to be displayed or plotted in real time on the PC.

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A Beginner's Guide to AI and Edge Computing Artificial Intelligence (AI) is now part of our daily lives. With companies developing low-cost AI-powered hardware into their products, it is now becoming a reality to purchase AI accelerator hardware at comparatively very low costs. One such hardware accelerator is the Hailo module which is fully compatible with the Raspberry Pi 5. The Raspberry Pi AI Kit is a cleverly designed hardware as it bundles an M.2-based Hailo-8L accelerator with the Raspberry Pi M.2 HAT+ to offer high speed inferencing on the Raspberry Pi 5. Using the Raspberry Pi AI Kit, you can build complex AI-based vision applications, running in real-time, such as object detection, pose estimation, instance segmentation, home automation, security, robotics, and many more neural network-based applications. This book is an introduction to the Raspberry Pi AI Kit, and it is aimed to provide some help to readers who are new to the kit and wanting to run some simple AI-based visual models on their Raspberry Pi 5 computers. The book is not meant to cover the detailed process of model creation and compilation, which is done on an Ubuntu computer with massive disk space and 32 GB memory. Examples of pre-trained and custom object detection are given in the book. Two fully tested and working projects are given in the book. The first project explains how a person can be detected and how an LED can be activated after the detection, and how the detection can be acknowledged by pressing an external button. The second project illustrates how a person can be detected, and how this information can be passed to a smart phone over a Wi-Fi link, as well as how the detection can be acknowledged by sending a message from the smartphone to your Raspberry Pi 5.

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Cette offre groupée contient : Livre : Get Started with the NXP FRDM-MCXN947 Development Board (prix normal : 40 €) NXP FRDM-MCXN947 Development Board (prix normal : 30 €) Livre : Get Started with the NXP FRDM-MCXN947 Development Board Développer des projets sur la connectivité, le graphisme, l'apprentissage automatique, le contrôle moteur et les capteurs Ce livre (en anglais) traite de l'utilisation de la carte de développement FRDM-MCXN947, développée par NXP Semiconductors. Elle intègre le double processeur Arm Cortex-M33, fonctionnant à une fréquence allant jusqu'à 150 MHz. Idéale pour les applications industrielles, IoT et d'apprentissage automatique, elle dispose d'un port USB à haute vitesse, de CAN 2.0, de l'I³C et d'Ethernet 10/100. La carte comprend un débogueur MCU-Link intégré, un FlexI/O pour le contrôle des écrans LCD, et une mémoire flash à double banque pour les opérations de lecture-écriture simultanées, prenant en charge des configurations de mémoire externe de grande capacité. L'une des caractéristiques importantes de la carte de développement est l'intégration de l'unité de traitement neuronal (NPU) eIQ Neutron, permettant aux utilisateurs de développer des projets basés sur l'intelligence artificielle. La carte de développement prend également en charge les broches de connecteur au format Arduino Uno, la rendant compatible avec de nombreux shields Arduino, ainsi qu'un connecteur mikroBUS pour les cartes Click de MikroElektronika et un connecteur Pmod. L'un des avantages intéressants de la carte de développement FRDM-MCXN947 est qu'elle inclut plusieurs sondes de débogage intégrées, permettant aux programmeurs de déboguer leurs programmes en communiquant directement avec le microcontrôleur (MCU). Grâce au débogueur, les programmeurs peuvent exécuter un programme pas à pas, insérer des points d'arrêt, visualiser et modifier des variables, etc. De nombreux projets fonctionnels et testés ont été développés dans le livre en utilisant l'IDE populaire MCUXpresso et le SDK avec divers capteurs et actionneurs. L'utilisation de la bibliothèque CMSIS-DSP populaire est également expliquée avec plusieurs opérations matricielles couramment utilisées. Les projets fournis dans le livre peuvent être utilisés sans modification dans de nombreuses applications. Alternativement, les lecteurs peuvent s'inspirer de ces projets pour développer leurs propres projets. Carte de développement NXP FRDM-MCXN947 La FRDM-MCXN947 est une carte de développement compacte et polyvalente conçue pour le prototypage rapide avec les microcontrôleurs MCX N94 et N54. Elle dispose de connecteurs standard pour un accès facile aux E/S du MCU, d'interfaces série ouvertes intégrées, d'une mémoire flash externe et d'un débogueur MCU-Link embarqué. Spécifications Microcontrôleur Cœurs MCX-N947 Dual Arm Cortex-M33 à 150 MHz chacun avec une efficacité de performance optimisée, jusqu'à 2 Mo de mémoire flash double banque avec RAM2 ECC complète en option, flash externe Accélérateurs : unité de traitement neuronal, PowerQuad, Smart2 DMA, etc. Extension de mémoire *Prise pour carte microSD DNP Connectivité Phy Ethernet et connecteur Connecteurs HS USB-C Connecteur SPI/I²C/UART (PMOD/mikroBUS, DNP) Connecteur WiFi (PMOD/mikroBUS, DNP) Émetteur-récepteur CAN-FD Débogage Débogueur MCU-Link intégré avec CMSIS-DAP Connecteur JTAG/SWD Capteur Capteur de température P3T1755 I³C/I²C, pavé tactile Options d'extension En-tête Arduino (avec lignes d'extension FRDM) En-tête FRDM En-tête FlexIO/LCD En-tête SmartDMA/Caméra Pmod *DNP microBUS Interface utilisateur DEL utilisateur RVB, plus boutons de réinitialisation, de FAI et de réveil Inclus 1x Carte de développement FRDM-MCXN947 1x Câble USB-C 1x Quick Start Guide Downloads Datasheet Block diagram

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