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This is the second edition of a book aimed at engineers, scientists, and hobbyists who want to interface PCs with hardware projects using graphical user interfaces. Desktop and web-based applications are covered. The programming language used is Python 3, which is one of the most popular languages around: speed of programming being a key feature. The book has been revised and updated with an emphasis on getting the user to produce practical designs with ease – a text editor is all that is required to produce Python programs. Hardware interfacing is achieved using an Arduino Uno as a remote slave. A full description and source code of the communication interface is given in the book. The slave provides digital and analog input and outputs. Multiple Unos can be included in one project with all control code written in Python and running on a PC One project involves a PIC microcontroller with the code provided that can be loaded into the PIC using the Uno. The web applications and server are all implemented in Python, allowing you to access your electronic hardware over the Internet. The Raspberry Pi computer can be used as your web server. An introductory chapter is provided to get you started with using Linux. The book is written for use with Debian or variations including Mint or Ubuntu. All of the programs in the book are freely available, ready to use and experiment with by way of a download from Elektor.

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Diese Ausgabe steht allen GOLD- und GREEN-Mitgliedern auf der ElektorMagazine-Website zum Download bereit! Sie sind noch kein Mitglied? Hier klicken! DIY-SolarakkusÜber den Selbstbau von Energiespeichern für Solaranlagen Solarmodul-SimulatorFür Test und Optimierung von MPP-Trackern und Invertern Der STM32-Edge-KI-WettbewerbEntdecken Sie den neuen STM32N6 und nehmen Sie am Wettbewerb um 5.000 € teil! Erweiterung der BandlückeWarum gibt es so viel Interesse an SiC und GaN? Power-Bank für NotebooksVerlängern Sie das Leben Ihres alten Laptops! Medizinische RoboterÜberwindung technischer und regulatorischer Hürden Frostwächter für ObstpflanzenMit Temperatur-Datenlogger Das analoge DingDer Arduino des Analog-Computings? Sparsames NetzrelaisMit über 90% Leistungsreduzierung Verbesserung der DC-Last ET5410A+Keep cool and be quiet! electronica 2024 im Rückblick Elektromagnetische VerträglichkeitEMV kurz und bündig! Aller Anfang......muss nicht schwer sein: Aktive Filter Verlustleistung reduzieren mit AbleitkondensatorenEin cleverer Einsatz von kapazitiver Reaktanz Preiswerter 12-Bit-Digital-Analog-Wandler MCP4725Mit EEPROM-Feature für sicheres Einschaltverhalten Fnirsi LCR-ST1, die intelligente LCR-SMD-Pinzette Test- und Messlabor mit Raspberry PiDas Wichtigste zuerst: Der ADC Elektronischer LastwiderstandEin Projekt aus der Kiste 2025: Eine Odyssee in die KIEinige Projekte für das neue Jahr Projekt-Update: Modulares DC-Leistungsmessgerät AmpVolt v2.0100 Ampere und mehr! Projekt 2.0 Ethische Transparenz sichtbar gemachtErgebnisse der Umfrage 2024 von Ethics in Electronics Elektor Audio-DSP FX-Prozessor-BoardTeil 2: Anwendungen erstellen

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. The AlertAlfred AI Security SystemPowered by a Raspberry Pi 5 and the Hailo 8L Module AI in Electronics DevelopmentAn Update After Only One Year Intro to AI AlgorithmsPrompt: Which Algorithms Implement Each AI Tool? Single-Board Computers for Artificial Intelligence ProjectsBackground and Overview From Sensor Data to Machine Learning ModelsGesture Detection with an Accelerometer and Edge Impulse Build a Leaky Integrate-and-Fire Spiking NeuronArtificial Intelligence Without Software ChatGPT for Electronic DesignDoes GPT-4o Do It Any Better? Bringing AI to the Edge with ESP32-P4 Exploring Speech Functions on Raspberry Pi ZeroWhen Overclocking Gives Freedom of Speech The Growing Role of Edge AIA Trend Shaping the Future Unlocking the Power of Edge AIA Conversation with François de Rochebouët of STMicroelectronics A VHDL Clock Made with ChatGPT AI’s Real ImpactSayash Kapoor on “AI Snake Oil” and More The Latest Stuff From BeagleBoardBeagleY-AI, BeagleV-Fire, BeagleMod, BeaglePlay and BeagleConnect Freedom Mosquito Detection Using Open Datasets and Arduino Nicla Vision AI Today and Tomorrow: Insights from Espressif, Arduino, and SparkFun Artificial Intelligence Timeline BeagleY-AIThe Latest SBC for AI Applications AI in FocusPerspectives from the Elektor Community Machine Vision with OpenMVCreate a Soda Can Detector A Conversation with the Digital MindChatGPT vs Gemini Skilling Me Softly with This Bot?Is the AI Revolution in the Electronic Field Failing Due to a Lack of Social Precision?

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Dieses Buch ist eine Einführung in das hochaktuelle Gebiet der Robotik. Dabei stehen praktische Anwendungsbeispiele im Vordergrund. Neben den technischen und mechanischen Grundlagen werden die elektronischen Komponenten und Module erläutert. Eine zentrale Rolle spielt dabei der Mikrocontroller. Für Robotik-Anwendungen haben sich zwei Controller-Boards etabliert: der Arduino und der Raspberry Pi. Dem trägt dieses Buch Rechnung und beschreibt praktische Nachbauprojekte mit diesen beiden populären Boards. Getreu der Philosophie des „Learning by Doing“ können sich auch ambitionierte, nichtprofessionelle Anwender mit dem Lernmaterial des Buches einen Überblick über den neuesten Stand der Robotertechnik und KI verschaffen. Für praktische Anwendungen können sowohl komplette Bausätze als auch einzelne Komponenten verwendet werden. Dabei wurde stets darauf geachtet, dass die Hardware möglichst universell einsetzbar ist.

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Build Smart Applications with Raspberry Pi, Arduino, and ESP32 Discover how easy and exciting mobile app development can be with MIT App Inventor. This hands-on guide takes you from basic concepts to building real-world mobile applications using a simple visual programming approach—no prior coding experience required. You will create IoT and AI-powered apps for Android devices and explore how App Inventor can also be used with iPhones and iPads. Connect your applications to platforms such as Arduino UNO R4 WiFi, ESP32, Raspberry Pi Pico (2)W and Raspberry Pi 5, enabling you to build smart, connected systems. Inside the book, you will learn how to: Build interactive apps using buttons, images, sound, and multimedia Create text-to-speech and speech-recognition applications Develop camera-based and location-aware (GPS) apps Design useful tools such as calculators and educational apps Work with smartphone sensors like accelerometers and light sensors Build AI-powered applications, including voice assistants and image-generation features Send and receive messages, and create communication-based apps Connect mobile apps to hardware using Wi-Fi and Bluetooth Control real devices such as LEDs, motors, and sensors Designed for beginners, students, and hobbyists, this book focuses on learning by doing. By the end, you will have the skills and confidence to create your own innovative applications that interact with both the digital and physical worlds. Start building and turning your ideas into reality.

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. electronica fast forward 2022 Start- & Scale-Up AwardsPreparations Speeding Up! Bluetooth Low Energy with ESP32-C3 and ESP32You Don’t Always Need to Choose Wi-Fi! Bluetooth Low Energy SnifferHacking a makerdiary nRF52840 MDK USB Dongle Magic RGB LED CubeHardware Design Around an RP2040 Auto On/Off for Solder Paste Compressor Elektor Video ContentLivestreams, Webinars, and Courses for Engineers and Pro Makers Bicycle ElectrificationHands-On with an E-Bike Retrofit Kit Starting Out in ElectronicsMultiplying Voltages From Life’s ExperienceSidelines Teensy 4.0Why Is This Board So Fast? Audio Power Amplifier Simulation with TINAThe Try-Before-You-Build Approach Develop and Operate Your LoRaWAN IoT NodesSample Chapter: Dragino LHT65, LDS01, and LDS02 LoRaWAN Modules Err-lectronicsCorrections, Updates and Readers’ Letters 5G Just for MeGaining Complete Control of 5G Deployments with Private Cellular Networks Infographics 7-8/2022 How Does My Device Learn to Transmit?Applications with Wi-Fi Interfaces Smartphones are the Heart of the IoT Audio Spectrum Analyzer with DekatronsA New Way to Use Vintage Tubes Sending Data to TelegramGet It Done with an ESP32 and a Few Parts A Fliege Notch Filter for Audio MeasurementsMake Better Measurements with a Notch Filter CO2 Meter TeardownIs It Hackable for Your Projects? PUT-ting It All TogetherThe Programmable Unijunction Transistor Explained Round Touchscreen for Raspberry PiHyperPixel 2.1 Round from Pimoroni Remote Sensing with Connection Loss DetectionUsing nRF24L01+ Modules Digital FM Receiver with Arduino and TEA5767Stayed Tuned with an Arduino Nano Changing an OLED Interface from SPI to I²C HomeLab ToursA Hobby Does Not Retire A Decade of Ethics in ElectronicsTessel Renzenbrink Reflects on the Digital Society and More HexadokuThe Original Elektorized Sudoku

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Eerste stappen met een ESP32-C3 en het IoTWiFi-knop en -relais IoT Cloud à la Arduino Arduino-shield met dubbele Geiger-Müller buisuiterst gevoelige en zeer zuinige stralingssensor CO2-wachterluchtkwaliteit bewaken – doe het zelf! MonkMakes Air Quality Kit voor de Raspberry Pimeet temperatuur en eCO2 Alle begin......verwelkomt de diode Tips & trucs voor het testen van componentenzonder kostbare apparatuur Reduceer het stroomverbruik van uw mollenverjagerATtiny13 in plaats van 555 Lichtschakelaar DeLuxuiterst nauwkeurig lichtgestuurd schakelen Uitdagingen bij het op de markt brengen van IoT-oplossingenzorgen over veiligheid, schaalbaarheid en de concurrentie Elektor Infographics Toch beter bedraadTips voor het ontwikkelen van een 1 Gbit/s interface in de industriële omgeving Edge Impulse FOMOreal-time objectdetectie voor MCU’s Lopende-golfbuisVreemde onderdelen, de serie Smalband-Internet of Thingsstandaarden, dekking, overeenkomsten en modules Dragino LPS8 indoor-gatewayLoRaWAN-gateway snel geïnstalleerd Ontdek ATtiny-microcontrollers met behulp van C en assemblervoorbeeldhoofdstuk: ATtiny I/O-poorten Project 2.0correcties, updates en brieven van lezers LoRa GPS-tracker updateontvang en toon de locatie met een Raspberry Pi Schakelingen simuleren met TINA Design Suite & TINACloudvoorbeeldhoofdstuk: sinusoscillatoren Uit het leven gegrepenlopendebandwerk Het WinUI grafische framework voor Windows-appseen kleine demo-applicatie GUI's maken met Python's Werelds slechtste GUI Off-grid PV-systeemelektrische energie onafhankelijk van het net De 10-jaar-smartphonestel uw verwachtingen bij Hexadoku

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Your First Steps with an ESP32-C3 and the IoTA Wi-Fi Button and Relay IoT Cloud a la Arduino Dual Geiger-Müller Tube Arduino ShieldA High Sensitivity, Very Low-Power Radiation Sensor CO2 GuardA DIY Approach to Monitoring Air Quality MonkMakes Air Quality Kit for Raspberry PiMeasures Temperature and eCO2 Starting Out in ElectronicsWelcome to the Diode Tips & Tricks for Testing ComponentsNo Expensive Equipment Required Reducing the Power Consumption of Your Mole RepellerAn ATtiny13 Replaces a 555 Light Switch DeLuxA Solution for High-Precision Light-Controlled Switching The Challenges in Bringing IoT Solutions to MarketWorries Around Security, Scalability, and Competition Infographics 5-6/2022 Preferably Wired After AllTips for Developing a 1 Gbit/s Interface in an Industrial Environment Bringing Real-Time Object Detection to MCUs with Edge Impulse FOMO Traveling-Wave TubesPeculiar Parts, the Series Narrowband Internet of ThingsStandards, Coverage, Agreements, and Modules Dragino LPS8 Indoor GatewaySpeedy LoRaWAN Gateway Setup Explore ATtiny Microcontrollers Using C and Assembly LanguageSample Chapter: ATtiny I/O Ports Err-lectronicsCorrections, Updates and Readers’ Letters LoRa GPS Tracker UpdateReceive and Show Location Using a Raspberry Pi Circuit Simulation with TINA Design Suite & TINACloudSample Chapter: Sinusoidal Oscillators From Life’s ExperienceAssembly Line Work The WinUI Graphics Framework for Windows AppsA Small Demo Application GUIs with PythonWorst GUI of the world Off-Grid Solar SystemsElectrical Energy Independent of the Mains Grid The 10-Year SmartphoneRenew Your Expectations HexadokuThe Original Elektorized Sudoku

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Vos premiers pas avec l'ESP32-C3 et l'IdOBouton Wi-Fi + relais Wi-FiCloud IdO à la sauce ArduinoDétecteur Geiger-Müller à double tube (extension pour Arduino)Capteur très sensible pour très faible rayonnementDétecteur de CO2 : CO2 GuardUne solution « maison » pour surveiller la qualité de l'airKit de mesure de la qualité de l'air pour Raspberry Pi de MonkMakesMesure de température et de CO2eDémarrer en électronique... (13)Entrée en scène de la diodeTrucs et astuces pour tester les composantsSans appareils de test coûteuxRéduction de la consommation d'énergie de votre repousse-taupesGrâce au remplacement du 555 par un ATtiny13Interrupteur crépusculaire DeLuxUne solution pour une commutation de haute précision, commandée par la lumièreLes défis de la commercialisation des solutions IdOProblématiques de sécurité, d'évolutivité et de concurrenceElektor infographieIoT : le nouveau Graal ?« Je préfère quand même être en filaire »Conseils pour développer une interface 1 Gbit/s dans un environnement industrielLa détection d'objets en temps réel pour les microcontrôleurs grâce à Edge Impulse FOMOTubes à ondes progressivesPeculiar Parts, the SeriesNB-IoTNormes, couvertures, conventions et modulesPasserelle intérieure Dragino LPS8Configuration rapide de la passerelle LoRaWANExplorer les microcontrôleurs ATtiny en utilisant le langage C et le langage assembleurExtrait : Ports d'E/S d'ATtinyÉlectronique interactive : projet 2.0Corrections, mises à jour et courriers des lecteursMise à jour de la balise GPS LoRaRecevoir et afficher la localisation à l'aide d'un Raspberry PiSimulation de circuits avec TINA Design Suite & TINACloudExtrait : oscillateurs sinusoïdauxSur le vifFaçon de pincerInfrastructure graphique WinUI pour les applications WindowsApplication de démonstrationCréation d'interfaces graphiques en Python avec guizeroLa pire des interfacesSystèmes solaires autonomesProduction d'électricité indépendante du réseau10 ans avec le même smartphone ?Et si c'était possible !Hexadoku

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A Practical Guide to AI, Python, and Hardware Projects Welcome to your BeagleY-AI journey! This compact, powerful, and affordable single-board computer is perfect for developers and hobbyists. With its dedicated 4 TOPS AI co-processor and a 1.4 GHz Quad-core Cortex-A53 CPU, the BeagleY-AI is equipped to handle both AI applications and real-time I/O tasks. Powered by the Texas Instruments AM67A processor, it offers DSPs, a 3D graphics unit, and video accelerators. Inside this handbook, you‘ll find over 50 hands-on projects that cover a wide range of topics—from basic circuits with LEDs and sensors to an AI-driven project. Each project is written in Python 3 and includes detailed explanations and full program listings to guide you. Whether you‘re a beginner or more advanced, you can follow these projects as they are or modify them to fit your own creative ideas. Here’s a glimpse of some exciting projects included in this handbook: Morse Code Exerciser with LED or BuzzerType a message and watch it come to life as an LED or buzzer translates your text into Morse code. Ultrasonic Distance MeasurementUse an ultrasonic sensor to measure distances and display the result in real time. Environmental Data Display & VisualizationCollect temperature, pressure, and humidity readings from the BME280 sensor, and display or plot them on a graphical interface. SPI – Voltmeter with ADCLearn how to measure voltage using an external ADC and display the results on your BeagleY-AI. GPS Coordinates DisplayTrack your location with a GPS module and view geographic coordinates on your screen. BeagleY-AI and Raspberry Pi 4 CommunicationDiscover how to make your BeagleY-AI and Raspberry Pi communicate over a serial link and exchange data. AI-Driven Object Detection with TensorFlow LiteSet up and run an object detection model using TensorFlow Lite on the BeagleY-AI platform, with complete hardware and software details provided.

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Elektor GREEN en GOLD leden kunnen deze uitgave hier downloaden. Nog geen lid? Klik hier om een lidmaatschap af te sluiten. DHZ-accusysteem voor zonne-energiebouw uw eigen energieopslag voor zonnepanelen Simulator voor zonnepanelentest en optimaliseer MPP-trackers en omvormers De STM32 Edge-AI-ContestOntdek de nieuwe STM32N6 en ding mee naar € 5000! Vergroten van de bandgapdaarom is er zoveel interesse in SiC en GaN Powerbank voor noteboekgeef uw oude laptop een tweede leven Medische robotshet overwinnen van technische en regelgevende barrières Vorstbescherming voor fruitbomenmet temperatuurlogger Het analoge dingde Arduino onder de analoge computers? Zuinige relaisdriverspaart 90% spoelstroom Verbetering van de ET5410A+ DC-belastingblijf koel en stil electronica 2024een terugblik Elektromagnetische compatibiliteitEMC in een notendop! Alle begin......filtert actief Reduceer vermogensverlies met seriecondensatorenslim gebruik van capacitieve reactantie De betaalbare MCP4725 12-bit digitaal/analoog-omzetterEEPROM-functie zorgt voor veilig inschakelgedrag FNIRSI LCR-ST1 smart LCR-meetpincet Raspberry Pi-gebaseerd test- en meetlabals eerste: de ADC Elektronische belastingweerstandmet onderdelen die u waarschijnlijk hebt liggen 2025: een AI-odysseeenkele projecten voor het nieuwe jaar Project-update: AmpVolt v2.0100 ampère en meer! Project 2.0correcties, updates en brieven van lezers Ethische transparantie ontsluierdinzichten uit het Ethics in Electronics 2024 onderzoek Audio DSP FX Processor Boarddeel 2: toepassingen maken

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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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