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High-Performance LoRa Communication Device The Elecrow ThinkNode M5 is a compact, portable LoRa communication device designed for off-grid messaging, location sharing, and outdoor use. Powered by an ESP32-S3 processor and an SX1262 LoRa chip, it comes pre-installed with Meshtastic firmware and can be configured conveniently via Bluetooth using the official Meshtastic app. The integrated multi-GNSS module supports GPS, GLONASS, BeiDou, and QZSS for reliable positioning and location sharing. Messages and device information are displayed on the energy-efficient 1.54-inch e-paper screen, while the built-in 1,200 mAh rechargeable battery enables extended mobile operation. With its integrated LoRa antenna, compact housing, RTC, and support for both Meshtastic and MeshCore firmware, the ThinkNode M5 is a practical communication solution for hiking, camping, remote locations, and emergency situations where conventional mobile networks are unavailable. Features LoRa communication Multi-GNSS positioning 1,200 mAh rechargeable battery 1.54-inch e-paper display Built-in RTC Compatible with MeshCore Compatible with Meshtastic Specifications Main Processor (ESP32-S3) CPU/SoC Xtensa 32-bit LX7 dual-core processor, clocked at up to 240 MHz System Memory 512 KB SRAM, 8 MB PSRAM Storage 4 MB Flash, 384 KB ROM Firmware Meshtastic firmware is fully compatible, and the signal is transmitted in LoRa mode EPD (Electronic Paper Display) Display Size 1.54 inch EPD (monochrome Ink screen) Display Materials E-lnk (Electronic Ink） Resolution 200 x 200 Driver Chip SSD1681 (via SPI or I²C interface) Global Fresh Time 2s Wireless Communication Bluetooth Bluetooth Low Energy and Bluetooth 5.0 (phone configuration) LoRa SX1262 LoRa Module, EU 868 MHz（external antenna） Hardware Interfaces USB-C, RP-SMA Function GPS Location (GPS, GLONASS, BeiDou, QZSS), EPD Display, RTC, USB 2.0, PMU power management (built-in 1200 mAh lithium battery), buzzer, etc. Button Knob Switch, Function Button, Page Turn Button, GPS Switch, Reset Button LED Indicator Power supply, GPS/LoRa indication Others Power Input 5 V/1 A, supports USB or lithium battery power supply Power consumption The maximum working current is about 340 mA (CPU + LoRa module), and the low power consumption is about 34 uA Operating Temperature -10~50°C Storage Temperature -20~60°C Relative humidity 10-95%, @ 40°C (non-condensing) Enclosure ABS Plastic Dimensions 82 x 51.6 x 26.3 mm Weight 81 g Included 1x Elecrow ThinkNode M5 1x LoRa antenna 1x USB-C cable 1x Manual Downloads Manual

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Enhance your Raspberry Pi 5 with the Pironman 5, built with sturdy aluminum, superior cooling, NVMe M.2 SSD support, OLED display, RGB lighting, standard HDMI ports x2, and a secure power switch. It is perfect for NAS, Home Assistant, Media and Game Centers. The Pironman 5 is not just a case; it’s an upgrade that transforms your Raspberry Pi 5 into a powerful, efficient, and stylish device. The Pironman 5 includes the Pi 5 NVMe PIP (PCIe Peripheral Board), a PCIe adapter board specifically designed for NVMe solid-state drives. This board supports four sizes of NVMe SSDs: 2230, 2242, 2260, and 2280, all of which can be installed in an M.2 M key slot. The connection is certified for Gen 2.0 speeds (5 GT/sec), but can be forced to Gen 3.0 (10 GT/sec) for faster performance. Expandable NVMe M.2 SSD Slot Boost your Raspberry Pi 5's performance with the Pironman 5's NVMe M.2 SSD slot, supporting multiple sizes (2230, 2242, 2260, 2280) for increased storage and faster system response. Advanced Cooling System Keep your Raspberry Pi 5 cool and stylish with the Pironman 5's tower cooler and dual RGB fans, featuring dust filters for durable, low-maintenance operation. OLED Display for Instant Insights The Pironman 5 includes a 0.96" OLED display, providing immediate updates on CPU and RAM usage, temperature, IP address, and more. Enhanced Functionality and Safety The Pironman 5 secures your Raspberry Pi 5 with features like safe shutdown, customizable RGB LEDs, HDMI ports, an IR receiver, and an external GPIO extender, enhancing functionality and connectivity. Features Raspberry Pi 5 mini PC 0.96" OLED Display showing Raspberry Pi’s CPU usage, temperature, disk usage, IP address, RAM usage etc. Tower cooler can cool a 100% CPU load Pi to 39°C at 25°C room temperature 2 RGB Fans, with GPIO control 1 PWM Fan on the Tower Cooler is controlled by the Raspberry Pi system. Supports four (PCIe Gen 2.0 / PCIe Gen 3.0) NVMe M.2 SSD sizes: 2230, 2242, 2260, and 2280. 4 WS2812 Addressable RGB LED light up the whole case with cool light effect IR Receiver for multi-media center like Kodi or Volumio Retro metal power button for safe shut down External GPIO extender with pin name label, for easy access Equipped with a spring-loaded socket for easy card removal Aluminum main body with clear Acrylic side panel Features two standard HDMI ports Downloads Documentation

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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

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The Elektor LoRa NodeVersatile, long-range, 868-MHz remote control with state feedback and STM32 Inside InteractiveCorrections & Updates || Questions & Answers Analogue Electronics DesignCase Study #1 — Section 2: Preamplifier optimized for MEMS microphone My IoT Button: A Button for the WebPart 1: IoT architecture BASIC for the ESP32 and ESP8266Programming with Annex WiFi RDS ESP32 Doorbell via Telegram“The UPS Man Always Rings Once” Small Circuits RevivalCapita Selecta from the Elektor Project Suggestions Box My First LoRaWANWith Blue Pill, LoRa Breakout Board and The Things Network Elektor Connexions 2003EL “A Strong Supporter of Open Internet”Interview with Wienke Giezeman, Initiator of The Things Network The Meadow F7 BoardA great board for .NET developers Practical ESP32 Multitasking (2)Task priorities Sigfox and the IoT (3)First steps on the network Raspberry Pi Bash Command Cheat Sheet Europe's Most Successful Start-up Accelerator?HighTechXL, Eindhoven, The Netherlands Review: The Enviro+ RPi-HATMeasure air quality with a Raspberry Pi and the Enviro+ HAT Steeped in Electronicsordering components from Ukraine and Russia Review: Andonstar AD407Better than its predecessor? Lab, Sweet LabA glimpse of The Holy Place — no unauthorized entry. Optical Probe for OscilloscopesMeasure brightness fluctuations of lighting systems The 'TABULA' Project - An UpdateTangibles with user feedback How-To Calculate the Prospective Short-Circuit Current or PSCCand choose the proper circuit breaker TMS1000 Series Microcontrollers Peculiar Parts, the series Starting Out in Electronics (2) Easier than imagined! Developer's ZoneTips & Tricks, Best Practices and Other Useful Information Locating Wayward Wires Track and trace concealed and defective cables with ease and certainty Review: Joy-IT DMSO2D72 Portable 3-in-1 Oscilloscope Homebrew PC for the Electronics LabTips on Component Choice and Construction The Elektor ‘Intelekt’ Chess Computer (1981)Tiny Chess 86 ported to the Intel 8088 Beyond ElectronicsPCB Art - Pushing the Limits of Industrial Manufacturing

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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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Elektor GREEN en GOLD leden kunnen deze uitgave hier downloaden. Nog geen lid? Klik hier om een lidmaatschap af te sluiten. ESP32 Audio Transceiver Board (Deel 2)Draadloze audio-overdracht Inductieve AM-zenderGebruikt Pico's PIO in een Arduino-sketch Navigeren door draadloze protocollen navigerenEen technische gids Satelliettracking met behulp van LoRaHet TinyGS-netwerk brengt gegevens uit de ruimte naar de aarde. 4G-Compatibele SMS afstandsbedieningBedien je apparatuur op afstand Hogesnelheids-probeIngangen met hoge impedantie voor signalen tot 200 MHz Uit het leven gegrepenKafka KrakenSDR Prestatietests met de RP2350Is een upgrade van Raspberry Pi Pico 1 naar versie 2 de moeite waard? Contactloze E-veldmetingen (2)Een laservibrometer voor het beoordelen van de trillingen van het membraan Kristallen en oscillatorenVerbetering van de kristalnauwkeurigheid door gerichte keuze van condensatoren Alle begin......gaat audio! Zelf firmware coderen voor embedded projecten SPECTRAN® V6 MobileModulaire, configureerbare realtime-spectrumanalyzer voor betrouwbare metingen over alle frequentiebereiken De toekomst van AI wordt gesmeed in siliciumEen interview met Anastasiia Nosova Autonome Sensor-Node v2.0 (Systeemarchitectuur)Zonne-energieplatform met geïntegreerde GPS, LoRaWAN en meer Precieze positioneringBluetooth channel sounding getest Testgestuurd ontwikkelen bij het schrijven van firmware Telefoon gestuurde modelautoWi-Fi + ESP32 + Smartphone = Afstandsbediening 2025: Een AI-odysseeAI-redeneermodellen: De gedachtegang-revolutie Zonne-laadregelaar met MPP-tracking (3)Software en Inbedrijfstelling Raspberry Pi Zero Web Streaming CameraDe ZeroTier VPN gebruiken Beste soldeerder van de Beneluxvakmanschap in de schijnwerpers Seminaroverzicht Electronics & ApplicationsLeer, ontdek en netwerk op E&A 2025 Eurocircuits at E&A 2025 E&A gadget 2025: racen over de beursvloer met slimme printplaat op wielenVijf vragen aan Casper van Doorne, ontwerper van de beursgadget Beursgadget E&A bekendontwerp en bestuur je eigen raceauto Vakbeurs E&A is het elektronicaparadijs van de Benelux“Techneuten blijven kinderen” Rohde & SchwarzPioneering Innovation in Test & Measurement Diederik Jekel opent Electronics & Applications

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LoRa with the Raspberry Pi PicoFun with MicroPython What Is RISC-V?And Why the Industry Is So Excited About a New Processing Core! Elektor @ 60Circuits of Summer Past Versatile Power Supply for BreadboardsPositive and Negative Voltages Out of 5 V from USB Raspberry Pi Pico EssentialsSample Chapter: Wi-Fi with the Raspberry Pi Pico Magnetic Levitation the Easy Way Hands On the Parallax Propeller 2Part 3: Smart Pins and Serial Data (UART) Nucleo Boards Programming with the STM32CubeIDESample Chapter: FreeRTOS for the STM32 MCU Developer's ZoneTips & Tricks, Best Practices and Other Useful Information Miniware DT71 Digital Tweezers Wearable Wi-Fi Gadget: ESPHome Does the Job Again Starting out in ElectronicsEasier Than Imagined! This Concludes the Subject of “Capacitors” Simple Sketches Using the Qwiic Ecosystem Java on the Raspberry Pi (Part 2)Controlling GPIOs with a Spring REST Service Raspberry Pi Compute Module 4A Raspberry Pi for Industry Portable, Stand-Alone Air Quality Display for 2.5 µm ParticlesKeep(s) an Eye on Your Health From Life’s ExperienceThe Future Was Better in the Past MicroPython for the ESP32 and FriendsPart 1: Installation and Our First Programs Charge-Coupled Devices in OscilloscopesPeculiar Parts, the series ESD – The Invisible DestroyerComponents Trashed by a Bolt from the Blue Solar Power for Mowing RobotsEcological, Inexpensive, Simple! Europe’s Efforts to Tame Big Tech HexadokuThe Original Elektorized Sudoku

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Program and Build Raspberry Pi 5 Based Ham Station Utilities with the RTL-SDR The RTL-SDR devices (V3 and V4) have gained popularity among radio amateurs because of their very low cost and rich features. A basic system may consist of a USB based RTL-SDR device (dongle) with a suitable antenna, a Raspberry Pi 5 computer, a USB based external audio input-output adapter, and software installed on the Raspberry Pi 5 computer. With such a modest setup, it is possible to receive signals from around 24 MHz to over 1.7 GHz. This book is aimed at amateur radio enthusiasts and electronic engineering students, as well as at anyone interested in learning to use the Raspberry Pi 5 to build electronic projects. The book is suitable for both beginners through experienced readers. Some knowledge of the Python programming language is required to understand and eventually modify the projects given in the book. A block diagram, a circuit diagram, and a complete Python program listing is given for each project, alongside a comprehensive description. The following popular RTL-SDR programs are discussed in detail, aided by step-by-step installation guides for practical use on a Raspberry Pi 5: SimpleFM GQRX SDR++ CubicSDR RTL-SDR Server Dump1090 FLDIGI Quick RTL_433 aldo xcwcp GPredict TWCLOCK CQRLOG klog Morse2Ascii PyQSO Welle.io Ham Clock CHIRP xastir qsstv flrig XyGrib FreeDV Qtel (EchoLink) XDX (DX-Cluster) WSJT-X The application of the Python programming language on the latest Raspberry Pi 5 platform precludes the use of the programs in the book from working on older versions of Raspberry Pi computers.

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Ready to explore the world around you? By attaching the Sense HAT to your Raspberry Pi, you can quickly and easily develop a variety of creative applications, useful experiments, and exciting games. The Sense HAT contains several helpful environmental sensors: temperature, humidity, pressure, accelerometer, magnetometer, and gyroscope. Additionally, an 8x8 LED matrix is provided with RGB LEDs, which can be used to display multi-color scrolling or fixed information, such as the sensor data. Use the small onboard joystick for games or applications that require user input. In Innovate with Sense HAT for Raspberry Pi, Dr. Dogan Ibrahim explains how to use the Sense HAT in Raspberry Pi Zero W-based projects. Using simple terms, he details how to incorporate the Sense HAT board in interesting visual and sensor-based projects. You can complete all the projects with other Raspberry Pi models without any modifications. Exploring with Sense HAT for Raspberry Pi includes projects featuring external hardware components in addition to the Sense HAT board. You will learn to connect the Sense HAT board to the Raspberry Pi using jumper wires so that some of the GPIO ports are free to be interfaced to external components, such as to buzzers, relays, LEDs, LCDs, motors, and other sensors. The book includes full program listings and detailed project descriptions. Complete circuit diagrams of the projects using external components are given where necessary. All the projects were developed using the latest version of the Python 3 programming language. You can easily download projects from the book’s web page. Let’s start exploring with Sense HAT.

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Le téléchargement intégral de ce numéro est disponible pour nos membres GOLD et GREEN sur le site Elektor Magazine ! Pas encore membre ? Cliquez ici. Raspberry Pi Pico comme analyseur de spectredes FFT avec du matériel bon marché régulateur de tension linéaire ±40 Vune alimentation de qualité pour l'amplificateur de puissance Fortissimo-100... et d'autres ! la communication sans fil des microcontrôleurs devient flexiblel'EEPROM ouvre des perspectives de mise en réseau pour les microcontrôleurs sans fil 5000 ? à gagner !participez au concours STM32 Wireless Innovation Design Contest 2023 : l'odyssée de l'IAdémarrer avec l'interpréteur de code de ChatGPT LoRa, un couteau suisse (1)le protocole LoRa et ses avantages puit de courant réglable avec générateur d'horloge intégrétestez vos alimentations, convertisseurs de tension et batteries les nouvelles cartes Arduino UNO R4 Minima et WiFi des potentiomètres logarithmiquesqui sont exponentiels ! Carte d'interface pour pilote de moteurUn BoB pour un pilote de moteur à courant continu de 5 A avec une taille de 3×3 mm sur le vifdanger de l'électronique une architecture cellulaire offre-t-elle la plus basse consommation pour l'Internet des objets (IdO) ?caractéristiques énergétiques des technologies LTE-M et NB-IoT pour le déploiement de réseaux étendus à basse consommation (LPWAN) communication sans fil dans les systèmes IoT à l'aide de modules Arduino MKRnormes de communication des modules Arduino pour l'IoT pertes en courant alternatif dans les composants magnétiquesévitez la surchauffe des inductances ! optimiser son déploiement cloud grâce aux appareils de mesure implémentation de Matter : que faut-il pour déployer les appareils Matter ? le YARD Stick Oneun outil de test sans fil pour les fréquences jusqu?à 1 GHz relais à verrouillagedrôle de composant, la série PIC O?Clock ? prendre le pouls du tempsconception d'un récepteur de signaux horaires SDR Due Diligence DirectiveBusiness as Usual Will Not Do démarrer en électronique?amplificateur de tension enregistreur d'infrasons avec l'Arduino Pro Miniun projet extrait du livre 'Arduino & Co.' d'Elektor compteur d'énergie basé sur le cloudavec un module ESP32 et un capteur de tension/courant PZEM-004T guide de programmation Bare-Metal (2)timer précis, UART et débogage Hexadoku

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