Search results for "nvidia OR jetson OR nano OR developer OR kit OR b01"

IMAGE PROCESSING WITH THE NVIDIA JETSON NANO (PART 2)Image Recognition Using Edge Impulse ELEKTOR JUMPSTARTER NEWSUpcoming Campaigns AN OPEN-SOURCE GPS TRACKING PLATFORMTraccar Maps Vehicle Tracking Without the Need for a Third-Party Cloud Server JOY-IT LCR-T7 MULTI-FUNCTION TESTERTesting Passives, Discrete Semiconductors and IR Remote Controls NOISE SYNTHESIZERFrom Noise to Music with the PRBSynth1 STARTING OUT IN ELECTRONICSEasier than Imagined! ... Continuing with the Coil UNDERSTANDING THE NEURONS IN NEURAL NETWORKS (PART 2)Logical Neurons ISSUES WITH SECURITY? FIGHT FIRE WITH FIRE!Flashbulb-Protected Analogue Memory Add-on For the Tamper-Evident Box LCR METER POSTER BLUETOOTH BEACONS IN PRACTICEBeacons Light the Way Ahead C PROGRAMMING ON RASPBERRY PICommunicating over Wi-Fi (Sample Chapter) EMC PRE-COMPLIANCE TEST FOR YOUR DC-POWERED PROJECT (PART 2)The Hardware and How to Use It HANDS ON THE PARALLAX PROPELLER 2 (PART 5)Inside the Smart Pin MODBUS OVER WLAN (PART 1)Hardware and Programming HOMELAB TOURSWhere the Junior Computer Is Brought to Life Again BUILD YOUR OWN HIGH-PRECISION CALIBRATOR-10 V to +10 V, 0 to 40 mA, 0.001% ARDUINO NANO RP2040 CONNECTRaspberry Pi RP2040 + Wi-Fi + Bluetooth THE PHYSICAL BODY OF ARTIFICIAL INTELLIGENCE ERR-LECTRONICSCorrections, Updates and Readers’ Letters CREATE GUIS WITH PYTHONIntroducing guizero CO2 METER KIT FOR THE CLASSROOMAn ESP8266-Based Device from the University of Applied Sciences Aachen NOSTALGIC MK484 MW/LW RADIO...Always Fun to Build! ELEKTOR @ 60Let There Be Light! HEXADOKUThe Original Elektorized Sudoku

Read (+) (–)

Master digital electronics – the hands-on way! This bundle includes the book Learning Digital Electronics, featuring 20+ practical projects in Logic and Circuit design, as well as a 100-piece kit – so you can start building logic circuits, counters, displays, and more right away. Learning Digital Electronics (Book) This book is a practical guide to digital electronics, covering the essential components of modern digital systems: number systems, logic gates, Boolean algebra, combinational and sequential logic, and more. Through more than 20 structured projects, you’ll design and build digital systems using real-world components such as logic gates, multiplexers, decoders, flip-flops, counters, and shift registers. The projects range from basic LED logic circuits to digital locks, display systems, traffic light controllers, and timing-based designs. Selected projects introduce the use of tools such as CircuitVerse for circuit simulation, while several designs make use of 74HC-series logic devices, commonly used in digital hardware prototyping. Inside, you’ll find: Clear coverage of number systems and binary arithmetic Logic gate fundamentals and universal gate implementations Step-by-step projects using flip-flops, counters, and registers Real-world design with 74HC-series logic chips Techniques for designing combinational and sequential systems This book takes a design-first, application-driven approach to digital electronics—built around working circuits, tested logic, and hands-on experimentation. Learning Digital Electronics (Kit) This kit has been specially developed to complement the book "Learning Digital Electronics". Since all necessary components are included, you can complete every practical project in the book directly. Kit contents 2x 74HC08 AND gate chip 2x 74HC00 NAND gate chip 1x 74HC86 XOR gate chip 1x 555 timer chip 1x 74HC161 counter chip 1x 74HC164 shift register 1x CD4511 7-segment decoder 1x CD4027 JK flip-flop 1x BC337 NPN transistor 1x KPS-5161 7-segment common-cathode display 1x Light dependent resistor (LDR) 4x 10 KΩ resistors 8x 1 KΩ resistor 2x 47 KΩ resistors 1x 100 KΩ resistor 4x 2.7 KΩ resistors 1x 5.6 KΩ resistor 1x 150 KΩ resistor 1x 10 μF capacitor 2x 0.01 μF capacitor 2x 100 nF capacitor 8x Small red LED 1x Small green LED 1x Small orange LED 4x Pushbutton switches 1x Active buzzer 1x Battery holder for 3x AA batteries (batteries not included) 1x Breadboard 40x Male-to-male jumper wires (length: 200 mm)

Read (+) (–)

TRAITEMENT D'IMAGES AVEC LE KIT JETSON NANO DE NVIDIA2e partie : reconnaissance d'images ELEKTOR JUMPSTARTER ? DU NOUVEAUCampagnes à venir TRACEUR GPS À CODE SOURCE OUVERTTraccar cartographie les déplacements de véhicules, sans recours à un serveur tiers du nuage TESTEUR MULTIFONCTION LCR-T7 DE JOY-ITTest de semi-conducteurs passifs, discrets et de télécommandes IR SYNTHÉTISEUR DE BRUITDu bruit à la musique avec le PRBSynth1 DÉMARRER EN ÉLECTRONIQUE?Easier than Imagined! ... Continuing with the Coil VOYAGE DANS LES RÉSEAUX NEURONAUX (2E PARTIE)Les neurones logiques PROBLÈMES DE SÉCURITÉ ? COMBATTEZ LE FEU PAR LE FEU !Extension à mémoire analogique, protégée par ampoule de flash, pour la boîte à témoin d?effraction KIT DU LCR-MÈTRE 2 MHZ D?ELEKTOR BALISES BLUETOOTH : LA PRATIQUEGéolocalisation intra muros C PROGRAMMING ON RASPBERRY PIExtrait : communiquer par Wi-Fi TEST DE PRÉCONFORMITÉ CEM POUR UN PROJET ALIMENTÉ EN COURANT CONTINUPartie 2 : le matériel et son utilisation PROPELLER 2 DE PARALLAX (5)La fonction de « broche intelligente » MODBUS SANS FIL (PARTIE 1)Matériel et programmation JUNIOR COMPUTEREn forme après 40 ans de sommeil CONSTRUIRE SON PROPRE ÉTALONNEUR DE HAUTE PRÉCISION?10 V à +10 V, 0 à 40 mA, 0,001 % ARDUINO NANO RP2040 CONNECT EN DÉTAILRaspberry Pi RP2040 + Wi-Fi + Bluetooth LE CORPS PHYSIQUE DE L?INTELLIGENCE ARTIFICIELLE PROJET 2.0corrections, mises à jour et courriers des lecteurs CRÉATION D?INTERFACES GRAPHIQUES EN PYTHON AVEC GUIZEROInstallez la bibliothèque Python guizero et créez vos propres interfaces graphiques. KIT DE MESURE DU CO2 POUR SALLE DE CLASSEMontage à base d?ESP8266, conçu par l?Université des Sciences Appliquées d'Aix-la-Chapelle MK484, RADIORÉTRO PO/GO...Toujours le plaisir de construire ! 60 ANS D?ELEKTORQue la lumière soit ! HEXADOKUThe Original Elektorized Sudoku

Read (+) (–)

Over 40 Fully Tested ESP32 Projects Using Arduino IDE and the LVGL Graphics Library This bundle includes the ESP32 Cheap Yellow Display (CYD) – a compact development board combining a standard ESP32 microcontroller with a 320x240 pixel TFT color display. The board also features multiple connectors for GPIO, serial communication (TX/RX), power, and ground. The built-in display is a major advantage, allowing users to create complex, graphics-based projects without the need for external LCDs or displays. The accompanying book introduces the CYD board's hardware and on-board connectors in detail. It provides a range of beginner to intermediate-level projects developed using the popular Arduino IDE 2.0. Both basic graphics functions and the powerful LVGL graphics library are covered, with practical projects illustrating each approach. All included projects have been fully tested and are ready to use. The book provides block diagrams, circuit schematics, complete code listings, and step-by-step explanations. With the LVGL library, readers can create modern, full-color graphical interfaces using widgets such as buttons, labels, sliders, calendars, keyboards, charts, tables, menus, animations, and more. ESP32 Cheap Yellow Display Board This development board (also known as "Cheap Yellow Display") is powered by the ESP-WROOM-32, a dual-core MCU with integrated Wi-Fi and Bluetooth capabilities. It operates at a main frequency of up to 240 MHz, with 520 KB SRAM, 448 KBROM, and a 4 MB Flash memory. The board features a 2.8-inch display with a resolution of 240x320 and resistive touch. Furthermore, the board includes a backlight control circuit, touch control circuit, speaker drive circuit, photosensitive circuit, and RGB-LED control circuit. It also provides a TF card slot, serial interface, DHT11 temperature and humidity sensor interface, and additional IO ports. The module supports development in Arduino IDE, ESP-IDE, MicroPython, and Mixly. Applications Image transmission for Smart Home device Wireless monitoring Smart agriculture QR wireless recognition Wireless positioning system signal And other IoT applications Specifications Microcontroller ESP-WROOM-32 (Dual-core MCU with integrated Wi-Fi and Bluetooth) Frequency Up to 240 MHz (computing power is up to 600 DMIPS) SRAM 520 KB ROM 448 KB Flash 4 MB Operating voltage 5 V Power consumption approx. 115 mA Display 2.8-inch color TFT screen (240 x 320) Touch Resistive Touch Driver chip ILI9341 Dimensions 50 x 86 mm Weight 50 g Downloads GitHub This bundle contains: The ESP32 Cheap Yellow Display Book (normal price: €35) ESP32 Cheap Yellow Display Board (normal price: €25) 1x ESP32 Dev Board with 2.8" Display and acrylic Shell 1x Touch pen 1x Connector cable 1x USB cable

Read (+) (–)

This bundle contains the AI Fusion Lab Kit – which includes over 450 components – and the book Physical AI with Raspberry Pi, offering a comprehensive, hands-on introduction to AI, electronics, and Python programming. Build practical projects that combine computer vision, voice interaction, sensors, motors, and large language models. The included book guides you step by step from Raspberry Pi setup and hardware control to advanced applications using OpenCV, MediaPipe, YOLO, OpenAI services, and local Ollama models. SunFounder AI Fusion Lab Kit for Raspberry Pi (450+ parts) The AI Fusion Lab Kit transforms a Raspberry Pi into a complete platform for learning artificial intelligence, electronics, and Python programming. It supports Raspberry Pi 5, 4B, 3B+, 3B, and Zero 2 W, as well as popular AI models and services including ChatGPT, Gemini, Grok, DeepSeek, Qwen, Doubao, and Ollama. With its camera, Pan-Tilt HAT, 10-axis sensor module, microphone, speaker, and electronic components, the kit enables users to build interactive AI projects that combine voice, vision, movement, and sensor data. It is suitable for beginners, students, makers, and anyone who wants to explore practical AI applications. Build Multimodal AI Projects Combine large language models with speech recognition, text-to-speech, camera vision, sensors, and breadboard circuits. Create projects that can listen, speak, see, react, and interact with their environment while learning how modern AI systems work. Explore AI Vision and Object Tracking Use YOLO, OpenCV, and MediaPipe to detect and track objects, colors, faces, and human movement. The motorized Pan-Tilt HAT allows the camera to follow targets automatically, demonstrating how computer vision and motion control work together. Voice AI with the Fusion HAT+ The Fusion HAT+ simplifies hardware control through a unified Python library and supports safe Raspberry Pi shutdown. Its integrated microphone and speaker make it easy to develop voice-controlled assistants and other conversational AI applications. Compatible with Raspberry Pi 5, 4B, 3B+, 3B, and Zero 2 W Supports multiple cloud-based and local AI models Includes camera, Pan-Tilt HAT, 10DOF module, microphone, and speaker Projects covering voice AI, computer vision, sensors, and electronics Video lessons, documentation, and sample code Book: Physical AI with Raspberry Pi Using the Raspberry Pi and the AI Fusion Lab Kit, this book takes you step by step from the fundamentals of hardware interfacing to the development of intelligent systems capable of seeing, listening, speaking, and making decisions. Whether you are a student, educator, maker, or professional engineer, you will gain valuable experience through projects designed to build both knowledge and confidence. Beginning with system setup, GPIO programming, sensors, displays, motors, and automation techniques, the book gradually introduces more advanced topics, including speech recognition, text-to-speech synthesis, conversational AI, object recognition, and machine learning. Along the way, you will learn how to create voice-controlled devices, intelligent assistants, camera tracking systems, environmental monitoring solutions, and AI-powered embedded applications. Explore modern technologies such as OpenAI services, Ollama local large language models, OpenCV, MediaPipe, and YOLO object detection while gaining practical experience with real-world applications used in robotics, industrial automation, smart devices, and autonomous systems. You’ll discover how intelligent software can interact with sensors, cameras, motors, and displays to create systems that respond naturally to the world around them. Rather than simply following code examples, you will be encouraged to experiment, customize, and expand every project. The techniques and skills developed throughout this book provide a solid foundation for future innovation, rapid prototyping, research, and product development. If you are ready to move beyond traditional electronics and explore the future of intelligent embedded systems, this book will guide you every step of the way. This bundle contains: SunFounder AI Fusion Lab Kit for Raspberry Pi (normal price: €100) Book: Physical AI with Raspberry Pi (normal price: €45) Not included Raspberry Pi

Read (+) (–)

Over 180 Projects with Raspberry Pi, Pico W, Arduino, and ESP32 This bundle contains the Universal Maker Sensor Kit, which consists of many sensors, actuators, displays, and motors. It’s perfect for environmental monitoring, smart home projects, robotics, and game controllers. The new Elektor book describes the design of many projects using the kit together with the popular Raspberry Pi, Raspberry Pi Pico W, Arduino Uno, and the ESP32 family of development boards. You can choose any of these development boards for your projects and either use the provided programs as they are, or modify these programs to suit your applications. This bundle contains: Book: Universal Maker Sensor Kit (normal price: €45) Universal Maker Sensor Kit for Raspberry Pi, Pico W, Arduino, ESP32 (normal price: €70) Book: Universal Maker Sensor Kit Learn to use more than 35 Sensors and Actuators with C++, Python, and MicroPython This book contains over 180 projects for all four major development boards (Arduino, Raspberry Pi, Pico W, and ESP32). Depending on the development board, projects are available in the C, Python, or MicroPython programming languages. The project titles, brief descriptions, wiring diagrams, and full program listings together with their detailed descriptions are given in the guide. Universal Maker Sensor Kit (for Raspberry Pi, Pico W, Arduino, ESP32) Discover endless creativity with the Universal Maker Sensor Kit, designed for use with Raspberry Pi, Pico W, Arduino, and ESP32. This versatile kit offers compatibility across popular development platforms, including Arduino Uno R4 Minima/WiFi, Uno R3, Mega 2560, Raspberry Pi 5, 4, 3B+, 3B, Zero, Pico W, and ESP32. Featuring over 35 sensors, actuators, and displays, it's perfect for projects ranging from environmental monitoring and smart home automation to robotics and interactive gaming. Step-by-step tutorials in C/C++, Python, and MicroPython guide beginners and experienced makers alike through 169 exciting projects. Features Wide Compatibility: Fully supports Arduino (Uno R3, Uno R4 Minima/WiFi, Mega 2560), Raspberry Pi (5, 4, 3B+, 3B, Zero, Pico W), and ESP32, enabling extensive flexibility across numerous development platforms. Includes instructions for building 169 projects. Comprehensive Components: Features more than 35 sensors, actuators, and display modules suitable for diverse projects such as environmental monitoring, smart home automation, robotics, and interactive game controllers. Detailed Tutorials: Provides clear, step-by-step tutorials covering Arduino, Raspberry Pi, Pico W, ESP32, and each included component. Tutorials are available in C/C++, Python, and MicroPython, catering effectively to both beginners and experienced makers. Suitable for All Skill Levels: Offers structured projects designed to guide users seamlessly from beginner to advanced proficiency in electronics and programming, enhancing creativity and technical expertise. Kit includes Breadboard Button Module Capacitive Soil Moisture Module Flame Sensor Module Gas/Smoke Sensor Module (MQ2) Gyroscope & Accelerometer Module (MPU6050) Hall Sensor Module Infrared Speed Sensor Module IR Obstacle Avoidance Sensor Module Joystick Module PCF8591 ADC DAC Converter Module Photoresistor Module PIR Motion Module (HC-SR501) Potentiometer Module Pulse Oximeter and Heart Rate Sensor Module (MAX30102) Raindrop Detection Module Real Time Clock Module (DS1302) Rotary Encoder Module Temperature Sensor Module (DS18B20) Temperature and Humidity Sensor Module (DHT11) Temperature, Humidity & Pressure Sensor (BMP280) Time of Flight Micro-LIDAR Distance Sensor (VL53L0X) Touch Sensor Module Ultrasonic Sensor Module (HC-SR04) Vibration Sensor Module (SW-420) Water Level Sensor Module I²C LCD 1602 OLED Display Module (SSD1306) RGB LED Module Traffic Light Module 5 V Relay Module Centrifugal Pump L9110 Motor Driver Module Passive Buzzer Module Servo Motor (SG90) TT Motor ESP8266 Module JDY-31 Bluetooth Module Power Supply Module Documentation Online Tutorial

Read (+) (–)

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)

Read (+) (–)

The Vision and Engineering Behind SparkFun Getting Started with MicroMod Leveling Up Your SparkFun JetBotHow I Expanded the Functionality of My JetBot, Powered by the NVIDIA Jetson Nano Programming an FPGA How to Build a DIY GNSS Reference Station The ClockClock Project Under the Hood: SparkFun Inventor's Kit SparkFun’s Glenn Samala on Product Development and New Ventures Creating Custom Circuit Boards with SparkFun À La Carte Designing with the SparkFun Artemis Getting Started with the Qwiic Ecosystem for Rapid Prototyping Poster - Qwiic Under the Hood: The GreatScott! / Elektor DIY LiPo Supercharger Kit Memorable Electronics from SparkFun Past Perfect Parking with LiDAR Buried Pad PCB Fixing Design to Sale: the SparkFun RTK Surveyor Hello World from the Raspberry Pi Pico and RP2040A Look at Raspberry Pi’s First Microcontroller and Microcontroller Chip DIY Quadrupedal Robots Poster - Micromod RISC-V IoT Development in AWS Using FreeRTOS Libraries Yep, Electronics = Fun!A Conversation Among Electronics Enthusiasts Sparkfun Product Catalog HexadokuThe Original Elektorized Sudoku

Read (+) (–)

BEELDVERWERKING MET DE NVIDIA JETSON NANO (DEEL 2)Beeldherkenning met Edge Impulse NIEUWS VAN ELEKTOR JUMPSTARTERNieuwe campagnes EEN OPEN SOURCE-PLATFORM VOOR GPS-TRACKINGMet Traccar voertuigen volgen zonder gebruik te maken van een cloudserver JOY-IT LCR-T7 MULTIFUNCTIONELE TESTERVoor passieve componenten, discrete halfgeleiders en IR RUISSYNTHESIZERVan ruis naar muziek met de PRBSynth1 ALLE BEGIN......speelt verder met de spoel KENNISMAKING MET NEURONEN IN NEURALE NETWERKEN (DEEL 2)Logische Neuronen BEVEILIGINGSPROBLEMEN? BESTRIJD VUUR MET VUUR!Met flitslampje beveiligde analoge geheugenuitbreiding voor de verzendbox met manipulatie-indicatie LCR METER POSTER BLUETOOTH-BAKENS IN DE PRAKTIJKindoor-plaatsbepaling PROGRAMMEREN IN C OP DE RASPBERRY PICommunicatie via WiFi (een hoofdstuk als voorbeeld) EMC PRE-COMPLIANCE TEST VOOR UW DC-GEVOED PROJECT (DEEL 2)De hardware en het gebruik ervan KENNISMAKING MET DE PARALLAX PROPELLER 2 (DEEL 5)Smart Pin-Functie MODBUS VIA WLAN (DEEL 1)Hardware en programmering OOST WEST LAB BEST... waar de Junior Computer weer tot leven is gewekt BOUW ZELF EEN NAUWKEURIGE KALIBRATOR-10 V tot +10 V, 0 tot 40 mA, 0,001% REVIEW: ARDUINO NANO RP2040 CONNECTRaspberry Pi RP2040 + WiFi + Bluetooth DE FYSIEKE KANT VAN KUNSTMATIGE INTELLIGENTIE PROJECT 2.0Correcties, Updates en Brieven van lezers MAAK GUI'S MET PYTHONIntroductie in guizero CO2-METER-BOUWKIT VOOR IN DE KLASEen ESP8266-project van de University of Applied Sciences Aachen NOSTALGISCHE MK484 MW/LW-RADIO...Altijd leuk om te bouwen! ELEKTOR @ 60Laat er licht zijn! HEXADOKUThe Original Elektorized Sudoku

Read (+) (–)

UNDERSTANDING THE NEURONS IN NEURAL NETWORKS (PART 1)Artificial Neurons EMC PRE-COMPLIANCE TEST FOR YOUR DC-POWERED PROJECT (PART 1)Dual DC LISN ELECTRONIC LOAD FOR DC AND ACUp to 400 V and 10 A (Peak) STARTING OUT IN ELECTRONICSEasier Than Imagined! ...Taking on the Choke! IMAGE PROCESSING WITH THE NVIDIA JETSON NANO (PART 1)The Hardware and Software AN IN-DEPTH LOOK AT MAINS TRANSFORMERSHow Do They Behave When They Are Switched On and Off? YES WE CAN WITH PICAN 3A CAN Bus HAT for the Raspberry Pi 4 BALCONY POWER PLANTDIY Solar Balcony = Speedy Payback! IMAGING AND VIDEO-STREAMING WITH A RASPBERRY PI 4The Raspberry Pi High-Quality Camera in Practice USING DISPLAYS IN RASPBERRY PI PROJECTSSample Chapter: Organic Light Emitting Diode Displays (OLED) HANDS ON THE PARALLAX PROPELLER 2 (PART 4)Sending Strings ELEKTOR @ 60A Look Back at Previous Septembers HOMELAB TOURSIn the Friesian Countryside, Where the Tubes Bloom ... HYBRIDSPeculiar Parts, the series A COMPASS ROSE USING THE GY-271Or Why We Move in Figures of Eight to Calibrate a Sensor FINDING YOUR FOOTPRINTCalculate the Carbon Footprint of Your Electronics ESP32-CONNECTED THERMOSTATKeep Your Wine at the Right Temperature! MAGNETIC LEVITATION THE DIGITAL WAYESP32 Pico Replaces the Analog Comparator ULTIMATE ARDUINO UNO HARDWARE MANUALSample Chapter: Main Microcontroller Bootloader MICROPYTHON FOR THE ESP32 AND FRIENDS (PART 2)Control Matrix Displays Easily MADMACHINE SWIFTIO BOARDModern Language Meets Modern Hardware FROM LIFE’S EXPERIENCEOn-Again, Off-Again Relationship HEXADOKUThe Original Elektorized Sudoku

Read (+) (–)