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This complete ESP32 microcontroller programming course features a textbook, a component kit, hands-on projects, and a comprehensive online course with simulations. It is ideal for step-by-step learning of embedded systems programming with Arduino using a practical, hands-on approach. A Practical Introduction to Embedded Systems with the ESP32 This course is designed for people who are new to embedded systems and looking for a structured, example-driven way to get started. A kit of parts comprising LEDs and resistors, switches, sensors and actuators, displays, a breadboard and wires, and more is included. These are used in the course to illustrate example applications. No prior experience with Arduino or embedded development is required. Each section features hands-on examples and mini projects designed to reinforce key concepts and inspire deeper exploration. By the end of the course, you’ll be able not only to reproduce the examples but also to build on them with your own ideas and applications. What Will You Learn? Microcontroller programming with the ESP32 using the Arduino IDE Working with Digital I/O, read buttons and encoders, control LEDs and relays Read analog inputs, voltages, and analog sensors Generating analog output signals and PWM Use serial communication like UART, I²C and SPI to control displays and read digital sensors and SD cards Managing time Working with interrupts Real-time sensor input and control via buttons, LEDs, and displays Control actuators like relays and servo motors Who Is It For? Students and self-learners exploring embedded systems Makers and IoT enthusiasts looking to improve their hardware skills Educators and trainers seeking ready-to-teach material What's Inside the Box? Access to the full course on the Elektor Academy Pro Learning Platform ESP32 microcontroller board + USB cable Book: Programming Microcontrollers in C/C++ Using Arduino Downloadable project files for every module Component Box: 2× LED, red, 5 mm LED, green, 5 mm 3× Resistor, 470 Ω, 0.25 W LDR Potentiometer, 10 kΩ, linear Pushbutton Rotary encoder module Relay module DHT22 Humidity & Temperature Sensor TM1637-compatible 4-digit 7-segment display MPU-6050 IMU with headers SSD1306-compatible I²C OLED display Micro SD card adapter with header Buzzer SG90 Micro Servo ILI9341-compatible SPI 240×320 TFT display 20× Jumper wires Breadboard All Programming Courses (and differences in content) Course Arduino Raspberry Pi Pico with Arduino C/C++ ESP32 with Arduino C/C++ Raspberry Pi Pico with MicroPython ESP32 with MicroPython Online Course Access to Arduino Course Access to Pico with Arduino C/C++ Course Access to ESP32 with Arduino C/C++ Course Access to Pico with MicroPython Course Access to ESP32 with MicroPython Course Board Uno R3 Raspberry Pi Pico ESP32 Raspberry Pi Pico ESP32 Book Programming Microcontrollers in C/C++ Using Arduino Programming Microcontrollers in C/C++ Using Arduino Programming Microcontrollers in C/C++ Using Arduino Programming Microcontrollers in MicroPython Programming Microcontrollers in MicroPython Kit 40-piece Component Box 40-piece Component Box 40-piece Component Box 40-piece Component Box 40-piece Component Box

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This bundle includes the Arduino UNO Q (2 GB) and the book "Arduino UNO Q and AI". The Arduino UNO Q is the first UNO board with a hybrid dual-brain architecture, combining a powerful Linux processor with a real-time microcontroller – bringing advanced computing and precise control together on one board. Powered by a Qualcomm Dragonwing QRB2210 MPU running Debian Linux and a STM32U585 MCU for real-time tasks, the UNO Q is built for next-generation applications. From Edge Computing and AI to robotics and automation, it delivers high performance without sacrificing ease of use. Simply connect your peripherals and get started – no extra hardware required. Features Dual-core architecture: Linux MPU + real-time MCU Qualcomm Dragonwing QRB2210 with Debian Linux support STM32U585 microcontroller for deterministic control Runs Arduino sketches via Zephyr OS Ideal for AI, IoT, robotics, and industrial projects Specifications Microprocessor (MPU) Qualcomm Dragonwing QRB2210:Quad-core Arm Cortex-A53 @ 2.0 GHzAdreno GPU 3D graphics accelerator2× ISP (13 MP + 13 MP or 25 MP) @ 30 fps Microcontroller (MCU) STM32U585Arm Cortex-M33 up to 160 MHz2 MB flash memory786 KB SRAM RAM 2 GB LPDDR4 Power Supply From USB-C connector 5 V max at 3 AInput Voltage (VIN): 7-24 V Storage 16 GB eMMC USB 1× USB-C port with host/device role switching, power role switch and video output Connectivity Wi-Fi 5 (2.4/5 GHz) with onboard antennaBluetooth 5.1 with onboard antenna Interfaces I²C/I³CSPIPWMCANUARTPSSIGPIOJTAGADC Video Video output support via USB-CMIPI DSI pins on JMEDIA header Extra 4× RGB user-controllable LEDs8×13 Blue LED Matrix1× Qwiic connector voltage 3V3, I²C1× User push-buttonJCTL: MPU Remote Debug connector Audio Microphone IN / Headphone OUT / Line OUT on JMISC MPU Operating System Linux Debian OS with upstream support Real-time Operating System Arduino Core on Zephyr OS Containerization Docker and Docker Compose support Support Operating Systems for Arduino App Lab Windows: Windows 10 or later (64-bit)macOS: macOS 11 or later (64-bit)Linux: Ubuntu 22.04 or later, and Debian Trixie (64-bit) Dimensions 68.85 × 53.34 mm (UNO form factor) Downloads Datasheet User Manual Pinout Schematics Book: Arduino UNO Q and AI – Learn to Build Intelligent Embedded Systems Build smarter embedded systems with Arduino UNO Q. This book gives you the tools, knowledge, and confidence to turn ideas into intelligent, working solutions using the Arduino UNO Q platform. Discover how to build intelligent embedded systems with the Arduino UNO Q and AI. Unlock the full potential of the Arduino UNO Q, a next-generation platform that combines the real-time power of the STM32U585 microcontroller with the flexibility of a Qualcomm Dragonwing QRB2210 microprocessor. Learn how to rapidly prototype real-world applications using the Arduino IDE for low-level embedded control and Python in Arduino App Lab for high-level development. Build confidence through hands-on projects that guide you step by step from basic board features to complete working systems. Explore ready-to-use, AI based Arduino App Lab examples and see how they can jump-start your development and reduce time to deployment. Step into the world of Edge AI with a clear, practical introduction to Edge Impulse Studio—no prior AI experience required. Follow a complete, real-world workflow to create a Keyword Spotting AI application, covering data collection, model training, optimization, and on-device inference using the Edge Impulse Studio. Bridge the gap between embedded systems and machine learning and learn how to bring intelligence directly onto your hardware. Perfect for embedded engineers, educators, students, and makers looking to stay ahead in AI-enabled product development. This bundle contains: Arduino UNO Q (2 GB) (normal price: €50) Book: Arduino UNO Q and AI (normal price: €35)

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This book is intended for electronics enthusiasts and professionals alike, who want a much deeper understanding of the incredible technology conquests over the pre-digital decades that created video. It details evolution of analogue video electronics and technology from the first electro-mechanical television, through advancements in Cathode Ray Tubes, transistor circuits and signal processing, up to the latest analogue, colour-rich TV, entertainment devices and calibration equipment. Key technological advances that enabled monochrome video and, eventually, colour are explained. The importance, compromises and techniques of maintaining crucial backward legacy compatibilities are described. The generation, signal processing and playback of analogue video signals in numerous capture, display, recording and playback devices together with operating principles and practices are examined. Technical and, often, political merits and deficiencies of key national and international video standards are highlighted. Several formats are shown to win and ultimately to co-exist. This book begins at fairly basic levels; concepts are introduced with human physiological perceptions of light and colour explained. This leads to the subject matter of luminance and chrominance; their equations and the circuits to process. There is full, detailed analysis of waveform shapes and timings inside video equipment and relevant popular connections e.g. S-video. Several analogue video projects which you can build yourself are also included in this book; with schematics, circuit board layouts and calibration steps to help you obtain the best results. The book makes use of many colour pages where the subject matter demands it (e.g. test cards). If you really want a deeper understanding of analogue video then this book is for you!

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This collection features the best of Elektor Magazine's articles on embedded systems and artificial intelligence. From hands-on programming guides to innovative AI experiments, these pieces offer valuable insights and practical knowledge for engineers, developers, and enthusiasts exploring the evolving intersection of hardware design, software innovation, and intelligent technology. Contents Programming PICs from the Ground UpAssembler routine to output a sine wave Object-Oriented ProgrammingA Short Primer Using C++ Programming an FPGA Tracking Down Microcontroller Buffer Overflows with 0xDEADBEEF Too Quick to Code and Too Slow to Test? Understanding the Neurons in Neural NetworksEmbedded Neurons MAUI Programming for PC, Tablet, and SmartphoneThe New Framework in Theory and Practice USB Killer DetectorBetter Safe Than Sorry Understanding the Neurons in Neural NetworksArtificial Neurons A Bare-Metal Programming Guide Part 1: For STM32 and Other Controllers Part 2: Accurate Timing, the UART, and Debugging Part 3: CMSIS Headers, Automatic Testing, and a Web Server Introduction to TinyMLBig Is Not Always Better Microprocessors for Embedded SystemsPeculiar Parts, the Series FPGAs for BeginnersThe Path From MCU to FPGA Programming AI in Electronics DevelopmentAn Update After Only One Year AI in the Electronics LabGoogle Bard and Flux Copilot Put to the Test ESP32 and ChatGPTOn the Way to a Self-Programming System… Audio DSP FX Processor Board Part 1: Features and Design Part 2: Creating Applications Rust + EmbeddedA Development Power Duo A Smart Object CounterImage Recognition Made Easy with Edge Impulse Universal Garden LoggerA Step Towards AI Gardening A VHDL ClockMade with ChatGPT TensorFlow Lite on Small MicrocontrollersA (Very) Beginner’s Point of View Mosquito DetectionUsing Open Datasets and Arduino Nicla Vision Artificial Intelligence Timeline Intro to AI AlgorithmsPrompt: Which Algorithms Implement Each AI Tool? Bringing AI to the Edgewith ESP32-P4 The Growing Role of Edge AIA Trend Shaping the Future

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Dit boek is bedoeld voor diegenen die zich bezig houden met geluidsversterking en geluidsdistributie. Het gaat in op de akoestische eigenschappen van open, halfopen en omsloten ruimten. Belangrijk is hoe luidsprekers aangepast kunnen worden op allerlei omgevingen. Meestal moet men een keuze maken uit het aanbod van luidsprekers en microfoons. De vraag is dan welke luidspreker en microfoon de juiste keuze zijn. En hoe deze moeten worden opgesteld waarbij spraak- en muziekverstaanbaarheid en de maximaal haalbare versterking in de live-situatie de belangrijkste criteria zijn. Dit boek geeft antwoord op die vragen. Verder wordt de lezer meegenomen naar het ontwerpen van luidsprekers op basis van de T/S parameters. Met eenvoudige software is het mogelijk akoestische en mechanische elementen van een luidspreker met de eventuele behuizing te vertalen naar de elektrische analogieën, zodat de luidspreker op de PC gesimuleerd kan worden. Aan de hand van rekenvoorbeelden worden bovenstaande simulaties ondersteund. Tot slot zijn in de referentielijst een aantal internetlinks opgenomen waaruit zeer waardevolle gegevens gehaald kunnen worden. De auteur, Peter Swarte, is natuurkundig ingenieur en was werkzaam bij Philips. Momenteel is hij_eigenaar van consultancy bureau P.A.S. Electro Acoustics en is hij actief lid van zowel het NAG (Nederlands Akoestisch Genootschap) als de AES (Audio Engineering Society).

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This hands-on bundle lets you build real Edge AI applications with the Raspberry Pi Raspberry Pi AI HAT+ (13 TOPS) The Raspberry Pi AI HAT+ (13 TOPS) is an expansion board designed for the Raspberry Pi 5, featuring an integrated Hailo AI accelerator. This add-on offers a cost-effective, efficient, and accessible approach to incorporating high-performance AI capabilities, with applications spanning process control, security, home automation, and robotics. The AI HAT+ connects via the Raspberry Pi 5’s PCIe Gen3 interface. When the Raspberry Pi 5 is running a current version of the Raspberry Pi OS, it automatically detects the onboard Hailo accelerator, making the neural processing unit (NPU) available for AI tasks. Additionally, the rpicam-apps camera applications included in Raspberry Pi OS seamlessly support the AI module, automatically using the NPU for compatible post-processing functions. Raspberry Pi Camera Module 3 Raspberry Pi Camera Module 3 is a compact camera from Raspberry Pi. It offers an IMX708 12-megapixel sensor with HDR, and features phase detection autofocus. Camera Module 3 is available in standard and wide-angle variants, both of which are available with or without an infrared cut filter. Camera Module 3 can be used to take full HD video as well as stills photographs, and features an HDR mode up to 3 megapixels. Its operation is fully supported by the libcamera library, including Camera Module 3’s rapid autofocus feature: this makes it easy for beginners to use, while offering plenty for advanced users. Camera Module 3 is compatible with all Raspberry Pi computers. Book: Edge AI Made Practical – 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. This bundle contains: Book: Edge AI Made Practical Raspberry Pi AI HAT+ (13 TOPS) Raspberry Pi Camera Module 3 Active Cooler for Raspberry Pi 5 FPC Display Cable for Raspberry Pi 5 (300 mm) Elektor Component Kit 40-pin GPIO Header Traffic Light Module LED red 5 V with built-in resistor LED yellow 5 V with built-in resistor LED green 5 V with built-in resistor LED blue 5 V with built-in resistor Breadboard (400 Tie-points) 10 Dupont wires male-female DHT22 sensor module Servo motor Required Raspberry Pi 5

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Bent u altijd al op zoek geweest naar een handig naslagwerk op het gebied van elektrotechniek en elektronica? Een boek waarin alles te vinden is wat in de dagelijkse praktijk voor hobby, studie of werk nodig is? Dan hoeft u niet langer verder te zoeken. U heeft namelijk gevonden wat u zoekt: Compendium Elektrotechniek (en elektronica). Met dit boek haalt u een grote diversiteit aan praktische kennis in huis. Alles wat u ooit beheerst heeft en waarvan u weet dat het ergens te vinden moet zijn, is nu terug te vinden in één boekwerk! Compendium Elektrotechniek is samengesteld door studenten en docenten van de Universiteit Twente. In het boek komen zowel theorie als praktijk aan bod. In het theoretische deel komen wiskunde, informatica, fysica, meettechniek, signaal- en systeemtheorie en elektronica aan de orde. Het praktische deel is onderverdeeld in de hoofdstukken componenten, audio/video en voedingen. Het is een verzameling informatie die regelmatig van pas komt voor iedereen die met elektrotechniek te maken heeft. Van pinouts van stekkers en IC's tot kleurcodes van weerstanden en schema's van spanningsregelaars.

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Raspberry Pi goes Industry (E-book)

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This book is all about building your own DIY home control system. It presents two innovative ways to assemble such a system: By recycling old PC hardware – possibly extending the life of an old PC, or by using Raspberry Pi. In both cases, the main system outlined in this book will consist of a computer platform, a wireless mains outlet, a controller and a USB webcam – All linked together by Linux. By using the Raspberry Pi in conjunction with Arduino (used as an advanced I/O system board), it is possible to construct a small, compact, embedded control system offering enhanced capacity for USB integration, webcams, thermal monitoring and communication with the outside world. The experience required to undertake the projects within this book are minimal exposure to PC hardware and software, the ability to surf the internet, burn a CD-ROM and assemble a small PCB.

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The ZD-8965 is a digital temperature-controlled desoldering station equipped with ground protection and an LCD screen for temperature display. Despite its compact and robust design, this high-power desoldering station is easy to operate with just one hand. The ZD-8965 features a soldering gun with an integrated filter that captures any extracted material, allowing for continuous operation by simply replacing the filters. Additionally, a temperature sensor is embedded in the tip, enabling rapid response to temperature fluctuations for consistent performance. Features Effortlessly adjust the temperature between 160°C and 480°C using the convenient up/down buttons on the front panel. LED display to indicate the temperature in °C/°F Features an ergonomic pistol grip with a trigger for quick and efficient solder waste removal. The upgraded soldering gun includes a rear trigger, making it exceptionally convenient for replacing and cleaning components. Comes with a high-quality soldering gun and a sturdy holder. Equipped with a heavy-duty heater that ensures optimal desoldering performance every time. Specifications Station Voltage supply 220-240 V Power 140 W Vakuum pressure 600 mm HG Desoldering Gun Power 140 W (18 V DC)Heat up rating: 140 W Temperature 160-480°C (320-896°F) Heating element Ceramic heater Included 1x ZD-8965 Desoldering station 2x Spare soldering tips 3x Cleaning needles for desoldering tips 3x Spare filter for desoldering gun 1x Spare filter for desoldering station 1x Manual

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Dieses E-Book enthält 53 originale Arduino-Artikel, die in der Zeitschrift Elektor zwischen März 2009 und Juli/August 2015 veröffentlicht wurden. Das 268 Seiten umfassende PDF steckt voller Ideen, Erklärungen, Tipps, Grafiken, Programme, Platinenlayouts und vieles mehr. Die Artikel sind informativ, unterhaltsam und anregend zugleich. Lassen Sie sich inspirieren! Das Inhaltsverzeichnis ist komplett verlinkt, so dass Sie Ihr gewünschtes Projekt sofort öffnen und lesen oder auch zwischen den Projekten schnell wechseln können.

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. The ESP-BLASTA Mini ESP32 Rocket Drone That Flies 100 km/h+ Wireless Workshop (1)Radio Modules Unlocked: 433 MHz CC1101 Sub-GHz Transceiver AM TransmitterWith Square/Sine Wave Generator on Raspberry Pi Pico STM32Cube Innovation ChallengeCompete with Your Best STM32C5 Design CoffeeCallerHow a Long Hallway Led to a Custom Mesh-Networked PCB AudiotronicsTotal Harmonic Distortion Elektor at 65Projects from Septembers and Octobers Past Bluetooth Channel Sounding for Asset TrackingCentimeter-Level Precision Ranging for Next-Generation IoT 2026: An AI OdysseyQuantum Computing Is Not the Next GPU Protecting the Cloud Demands Security at the Edge First Experiences with the HackRF ProPractical Tests with the New SDR Hardware Modem Upgrade from GPRS/2G to LTE/4GUsing a Wireless Alarm Control Panel as an Example Loop Antenna with RF BricksPart 1: A DIY Shortwave Antenna with Adjustable Directivity Internet Radio to AM ConverterUsing an ESP32-S3 as Transmitter Err-lectronics mioty — An OverviewFraunhofer’s Approach to LPWAN Workbench WisdomPractical Tips from Experts Walter, the Compact IoT ModulePart 2: Accessing Weather and Data Services

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