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Clever Tricks with ATmega328 Pro Mini Boards With a simple Pro Mini board and a few other components, projects that 20 or 30 years ago were unthinkable (or would have cost a small fortune) are realized easily and affordably in this book: From simple LED effects to a full battery charging and testing station that will put a rechargeable through its paces, there’s something for everyone. All the projects are based on the ATmega328 microcontroller, which offers endless measuring, switching, and control options with its 20 input and output lines. For example, with a 7-segment display and a few resistors, you can build a voltmeter or an NTC-based thermometer. The Arduino platform offers the perfect development environment for programming this range of boards. Besides these very practical projects, the book also provides the necessary knowledge for you to create projects based on your own ideas. How to measure, and what? Which transistor is suitable for switching a certain load? When is it better to use an IC? How do you switch mains voltage? Even LilyPad-based battery-operated projects are discussed in detail, as well as many different motors, from simple DC motors to stepper motors. Sensors are another exciting topic: For example, a simple infrared receiver that can give disused remote controls a new lease on life controlling your home, and a tiny component that can actually measure the difference in air pressure between floor and table height!

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Projects with Arduino Uno & Raspberry Pi with Examples for the MCP2515 CAN Bus Interface Module This book details the use of the Arduino Uno and the Raspberry Pi 4 in practical CAN bus based projects. Using either the Arduino Uno or the Raspberry Pi with off-the-shelf CAN bus interface modules considerably ease developing, debugging, and testing CAN bus based projects. This book is written for students, practicing engineers, enthusiasts, and for everyone else wanting to learn more about the CAN bus and its applications. The book assumes that the reader has some knowledge of basic electronics. Knowledge of the C and Python programming languages and programming the Arduino Uno using its IDE and Raspberry Pi will be useful, especially if the reader intends to develop microcontroller-based projects using the CAN bus. The book should be a useful source of reference material for anyone interested in finding answers to questions such as: What bus systems are available for the automotive industry? What are the principles of the CAN bus? How can I create a physical CAN bus? What types of frames (or data packets) are available in a CAN bus system? How can errors be detected in a CAN bus system and how dependable is a CAN bus system? What types of CAN bus controllers exist? How do I use the MCP2515 CAN bus controller? How do I create 2-node Arduino Uno-based CAN bus projects? How do I create 3-node Arduino Uno-based CAN bus projects? How do I set the acceptance masks and acceptance filters? How do I analyze data on the CAN bus? How do I create 2-node Raspberry Pi-based CAN bus projects? How do I create 3-node Raspberry Pi-based CAN bus projects?

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Practical Applications and Project with Arduino, ESP32, and RP2040 Immerse yourself in the fascinating world of control engineering with Arduino and ESP32! This book offers you a practical introduction to classic and modern control methods, including PID controllers, fuzzy logic, and sliding-mode controllers. In the first part, you will learn the basics of the popular Arduino controllers, such as the Arduino Uno and the ESP32, as well as the integration of sensors for temperature and pH measurement (NTC, PT100, PT1000, and pH sensor). You will learn how to use these sensors in various projects and how to visualize data on a Nextion TFT display. The course continues with an introduction to actuators such as MOSFET switches, H-bridges, and solid-state relays, which are used to control motors and actuators. You will learn to analyze and model controlled systems, including PT1 and PT2 control. The book focuses on the implementation of fuzzy and PID controllers for controlling temperature and DC motors. Both the Arduino Uno and the ESP32 are used. The sliding-mode controller is also introduced. In the second-to-last chapter, you will explore the basics of neural networks and learn how machine learning can be used on an Arduino. In the last chapter, there is a practical example of a fuzzy controller for feeding electricity into the household grid. This book is the perfect choice for engineers, students, and electronics engineers who want to expand their projects with innovative control techniques.

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The Controller Area Network (CAN) was originally developed to be used as a vehicle data bus system in passenger cars. Today, CAN controllers are available from over 20 manufacturers, and CAN is finding applications in other fields, such as medical, aerospace, process control, automation, and so on. This book is written for students, for practising engineers, for hobbyists, and for everyone else who may be interested to learn more about the CAN bus and its applications. The aim of this book is to teach you the basic principles of CAN networks and in addition the development of microcontroller based projects using the CAN bus. In summary, this book enables the reader to: Learn the theory of the CAN bus used in automotive industry Learn the principles, operation, and programming of microcontrollers Design complete microcontroller based projects using the C language Develop complete real CAN bus projects using microcontrollers Learn the principles of OBD systems used to debug vehicle electronics You will learn how to design microcontroller based CAN bus nodes, build a CAN bus, develop high-level programs, and then exchange data in real-time over the bus. You will also learn how to build microcontroller hardware and interface it to LEDs, LCDs, and A/D converters. The book assumes that the reader has some knowledge on basic electronics. Knowledge of the C programming language will be useful in later chapters of the book, and familiarity with at least one member of the PIC series of microcontrollers will be an advantage, especially if the reader intends to develop microcontroller based projects using the CAN bus.

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. DIY Solar Energy StorageBuild Your Own Energy Store for a PV Solar Array Solar Module SimulatorA Solution for Testing and Optimizing MPP Trackers and Inverters The STM32 Edge AI ContestExplore the new STM32N6 and Compete for a Share of €5,000 in Prizes! Widening the BandgapWhy There Is So Much Interest in SiC and GaN Notebook Power BankExtend the Life of Your Aged Laptop Medical RobotsOvercoming Technical and Regulatory Hurdles Frost Guard for Fruit Plants With Temperature Data Logger The Analog ThingThe Arduino of Analog Computing? Energy Saving Relay DriverSaves 90% of Relay Drive Power Improving the ET5410A+ DC loadKeep Cool and Be Quiet, Please electronica 2024 in Review Electromagnetic CompatibilityEMC in a Nutshell! Starting Out in Electronics……Filters Actively Reducing Power Dissipation With Dropping CapacitorsA Clever Use of Capacitive Reactance The Affordable MCP4725 12-Bit Digital-to-Analog ConverterAn EEPROM Feature Enables Safe Switch-On Behavior Fnirsi LCR-ST1 Smart LCR SMD Tweezers Raspberry Pi-Based Private Test & Measurement LabFirst Things First: The ADC Electronic Load ResistorAn Out-of-the-Box Project 2025: An AI OdysseySome Projects to See in the New Year AmpVolt v2.0 Project Update100 Amps and Beyond! Err-lectronicsCorrections, Updates, and Readers’ Letters Unveiling Ethical TransparencyInsights from Ethics in Electronics’s 2024 Survey Elektor Audio DSP FX Processor Board (2)Creating Applications

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AI Projects for the Raspberry Pi with the AI HAT+ Edge AI is transforming everyday devices by putting intelligence where it matters most: directly inside the hardware. With on-device inference, a camera can recognize a visitor instantly, a phone can translate speech without streaming audio to the cloud, and a wearable can detect anomalies in real time—fast, private, and reliable even when the network disappears. This book is your practical guide to building exactly those kinds of systems with the Raspberry Pi AI HAT+ and the Hailo-8L accelerator. You’ll start with clear foundations: core AI and machine-learning concepts, how neural networks work, and what truly distinguishes Edge AI from cloud AI—plus an honest look at ethical considerations and future impacts. Then it’s straight to hands-on physical computing. Step by step, you’ll set up Raspberry Pi OS, power and cooling, and develop in Python using the Thonny IDE. You’ll learn GPIO basics with lights and servos, mount the AI HAT+ hardware, install and verify the Hailo software stack, and connect the right camera—official modules or USB webcams, even multiple cameras. From your first pipeline to real projects, you’ll run person detection, pose estimation, segmentation, and depth estimation, then level up with YOLO object detection: smart alerts, guest counters, and custom extensions. You’ll even connect vision to motion by combining gesture recognition with servo-driven mechanisms, including a robotic arm. With troubleshooting tips, hardware essentials, and a practical Python refresher, this book turns Edge AI from buzzword into buildable reality.

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Ce livre vous emmène dans une visite éclair du développement d'applications Web full-stack à l'aide de Raspberry Pi. Vous apprendrez à créer une application à partir de zéro. Vous acquerrez de l'expérience et des connaissances sur les technologies, notamment : Le système d'exploitation Linux et la ligne de commande. Le langage de programmation Python. Les broches d'entrée-sortie à usage général (GPIO) du Raspberry Pi. Le serveur Web Nginx. Micro-framework Flask Python pour les applications Web. JQuery et CSS pour créer des interfaces utilisateur. Gérer les fuseaux horaires. Création de graphiques avec Plotly et Google Charts. Enregistrement des données avec Google Sheet. Développement d'applets avec IFTTT. Sécuriser votre application avec SSL. Recevez des messages texte sur votre téléphone avec Twilio. Ce livre vous apprend également comment configurer à distance un nœud de capteur Arduino sans fil et en collecter des données. Votre application Web Raspberry Pi sera capable de traiter les données du nœud Arduino de la même manière qu'elle traite les données de son capteur intégré. Raspberry Pi Full Stack vous enseigne de nombreuses compétences essentielles à la création d'applications Web et Internet des objets. L'application que vous construirez dans ce projet est une plate-forme sur laquelle vous pourrez vous développer. Ce n'est que le début de ce que vous pouvez faire avec un Raspberry Pi et les composants logiciels et matériels que vous apprendrez. Ce livre est soutenu par l'auteur à travers un espace de discussion dédié.

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Program, build, and master 60+ projects with the Wireless RP2040 The Raspberry Pi Pico and Pico W are based on the fast, efficient, and low-cost dual-core ARM Cortex M0+ RP2040 microcontroller chip running at up to 133 MHz and sporting 264 KB of SRAM and 2 MB of Flash memory. Besides spacious memory, the Pico and Pico W offer many GPIO pins, and popular peripheral interface modules like ADC, SPI, I²C, UART, PWM, timing modules, a hardware debug interface, and an internal temperature sensor. The Raspberry Pi Pico W additionally includes an on-board Infineon CYW43439 Bluetooth and Wi-Fi chipset. At the time of writing this book, the Bluetooth firmware was not yet available. Wi-Fi is however fully supported at 2.4 GHz using the 802.11b/g/n protocols. This book is an introduction to using the Raspberry Pi Pico W in conjunction with the MicroPython programming language. The Thonny development environment (IDE) is used in all of the 60+ working and tested projects covering the following topics: Installing the MicroPython on Raspberry Pi Pico using a Raspberry Pi or a PC Timer interrupts and external interrupts Analogue-to-digital converter (ADC) projects Using the internal temperature sensor and external sensor chips Using the internal temperature sensor and external temperature sensor chips Datalogging projects PWM, UART, I²C, and SPI projects Using Bluetooth, WiFi, and apps to communicate with smartphones Digital-to-analogue converter (DAC) projects All projects are tried & tested. They can be implemented on both the Raspberry Pi Pico and Raspberry Pi Pico W, although the Wi-Fi-based subjects will run on the Pico W only. Basic programming and electronics experience are required to follow the projects. Brief descriptions, block diagrams, detailed circuit diagrams, and full MicroPython program listings are given for all projects.

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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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Se lancer dans l'électronique n'est pas aussi difficile qu'on pourrait le penser. Avec cette offre groupée (livre + kit), vous pouvez explorer et apprendre les concepts les plus importants de l'ingénierie électrique et électronique de manière ludique en réalisant diverses expériences. Vous apprendrez l'électronique pratiquement sans entrer dans un jargon technique complexe et de longs calculs. En conséquence, vous créerez bientôt vos propres projets. Ce kit contient les composants nécessaires pour construire la plupart des exemples détaillés du livre sur une planche à pain et les essayer pour de vrai. Ce kit peut, bien entendu, être utilisé sans livre pour construire d'autres circuits et réaliser vos propres expériences. Contenu du kit 1x 39 Ω, résistance de 1 W 1x résistance de 47 Ω 1x résistance de 180 Ω 1x résistance de 330 Ω 3x résistance de 1 kΩ 1x résistance de 2,2 kΩ 1x résistance de 3,9 kΩ 1x résistance de 6,8 kΩ 1x résistance de 10 kΩ 1x résistance de 15 kΩ 1x résistance de 22 kΩ 1x résistance de 33 kΩ 1x résistance de 47 kΩ 1x résistance de 56 kΩ 1x résistance de 82 kΩ 1x résistance de 120 kΩ 1x résistance de 680 kΩ 2x résistance de 100 kΩ 1x coupe-bordure de 10 kΩ 1x potentiomètre linéaire de 10 kΩ 1x potentiomètre linéaire de 100 kΩ 1x LDR 1x condensateur céramique de 1 nF 1x condensateur céramique de 10 nF 1x condensateur céramique de 100 nF 1x condensateur électrolytique en aluminium de 1 µF, 25 V 2x condensateur électrolytique en aluminium de 10 µF, 25 V 1x condensateur électrolytique en aluminium de 100 µF, 25 V 1x condensateur électrolytique en aluminium de 470 µF, 25 V 1x condensateur électrolytique en aluminium de 1000 µF, 25 V 1x LED RVB, cathode commune (CC) 1x diode de petit signal 1N4148 1x diode Zener 1N4733A 5,1 V, 1 W 3x LED, rouge 2x transistors NPN BC337 1x MOSFET canal N IRFZ44N 2x minuteries NE555 1x comparateur LM393 1x 74HCT08 quad ET portail 3x interrupteurs tactiles 2x commutateur SPDT 1x relais, SPDT, 9 V CC 1x buzzer actif 1x buzzer passif Câble solide de 50 cm, 16 AWG, sans gaine 2x pinces pour batterie PP3 9 V 1x planche à pain 20x fil de liaison Cette offre groupée contient : Kit : Practical Electronics Crash Course (d'une valuer de 45 €) Livre : Practical Electronics Crash Course (prix normal : 45 €)

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50+ Android Apps with Raspberry Pi, ESP32 and Arduino This book is about developing apps for Android compatible mobile devices using the MIT App Inventor online development environment. MIT App Inventor projects can be in either standalone mode or use an external processor. In standalone mode, the developed application runs only on the mobile device (e.g. Android). In external processor-based applications, the mobile device communicates with an external microcontroller-based processor, such as Raspberry Pi, Arduino, ESP8266, ESP32, etc. In this book, many tested and fully working projects are given both in standalone mode and using an external processor. Full design steps, block programs, circuit diagrams, QR codes and full program listings are given for all projects. The projects developed in this book include: Using the text-to-speech component Intonating a received SMS message Sending SMS messages Making telephone calls using a contacts list Using the GPS and Pin-pointing our location on a map Speech recognition and speech translation to another language Controlling multiple relays by speech commands Projects for the Raspberry Pi, ESP32 and Arduino using Bluetooth and Wi-Fi MIT APP Inventor and Node-RED projects for the Raspberry Pi The book is unique in that it is currently the only book that teaches how to develop projects using Wi-Fi and Node-RED with MIT App Inventor. The book is aimed at students, hobbyists, and anyone interested in developing apps for mobile devices. All projects presented in this book have been developed using the MIT App Inventor visual programming language. There is no need to write any text-based programs. All projects are compatible with Android-based mobile devices. Full program listings for all projects as well as detailed program descriptions are given in the book. Users should be able to use the projects as they are presented, modifying them to suit their own needs.

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This book details the use of the ARM Cortex-M family of processors and the Arduino Uno in practical CAN bus based projects. Inside, it gives a detailed introduction to the architecture of the Cortex-M family whilst providing examples of popular hardware and software development kits. Using these kits helps to simplify the embedded design cycle considerably and makes it easier to develop, debug, and test a CAN bus based project. The architecture of the highly popular ARM Cortex-M processor STM32F407VGT6 is described at a high level by considering its various modules. In addition, the use of the mikroC Pro for ARM and Arduino Uno CAN bus library of functions are described in detail. This book is written for students, for practising engineers, for hobbyists, and for everyone else who may need to learn more about the CAN bus and its applications. The book assumes that the reader has some knowledge of basic electronics. Knowledge of the C programming language will be useful in later chapters of the book, and familiarity with at least one microcontroller will be an advantage, especially if the reader intends to develop microcontroller based projects using CAN bus. The book should be useful source of reference to anyone interested in finding an answer to one or more of the following questions: What bus systems are available for the automotive industry? What are the principles of the CAN bus? What types of frames (or data packets) are available in a CAN bus system? How can errors be detected in a CAN bus system and how reliable is a CAN bus system? What types of CAN bus controllers are there? What are the advantages of the ARM Cortex-M microcontrollers? How can one create a CAN bus project using an ARM microcontroller? How can one create a CAN bus project using an Arduino microcontroller? How can one monitor data on the CAN bus?

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