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Learning Embedded Systems with STM32 Nucleo Boards Embedded programming has become more accessible than ever before. Development boards are inexpensive, software tools are easy to install, and the Arduino IDE provides a familiar environment for creating embedded applications. Combined with the STM32 Nucleo family of development boards, it offers an excellent platform for learning how modern microcontrollers interact with the physical world. This book introduces embedded programming using the Arduino environment on STM32 Nucleo boards. You will learn how a microcontroller continuously reads inputs, processes information, and controls outputs in a predictable real-time loop. Through practical examples, you will discover how to control LEDs, read switches and sensors, generate PWM signals, drive motors, and exchange data with other devices, all while becoming familiar with the capabilities of STM32 microcontrollers. Although the STM32 family includes devices with different performance levels, memory sizes, and peripheral sets, they all share the same architectural concepts. Digital and analog I/O, timers, interrupts, PWM, communication interfaces, and low-power operation are fundamental features found throughout the STM32 ecosystem. Understanding these building blocks will enable you to work confidently with a wide range of STM32 devices, from entry-level microcontrollers to more advanced applications. By focusing on practical programming techniques rather than hardware complexity, this book develops skills that remain useful well beyond the examples presented. Whether you are taking your first steps in embedded systems or expanding your experience with STM32 microcontrollers, you will gain a solid understanding of both the Arduino development environment and the principles that underpin embedded software design.

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Bauen Sie Ihre perfekte Wetterstation oder forschen Sie zusammen mit der ganzen Welt an Umweltdaten. Mit vielen praktischen Projekten für Arduino, Raspberry Pi, NodeMCU, ESP32 und weiteren Developmentboards. Wetterstationen erfreuen sich seit Jahrzehnten großer Beliebtheit. Ob in aktuellen oder längst eingestellten Elektronik-Magazinen – regelmäßig finden sich Beiträge zum Eigenbau einer Wetterstation. Im Laufe der Jahre wurden diese Systeme immer ausgefeilter und können heute nahtlos in das Smart Home integriert werden. Allerdings erfordert dies oft die Bindung an einen (teuren) Markenhersteller, der sämtliche Komponenten abdeckt. Mit Ihrer eigenen Wetterstation können Sie jedoch mühelos mithalten – und sogar Messwerte erfassen, die kommerzielle Geräte nicht bieten. Dabei kommt der Spaß nicht zu kurz: Sie erweitern spielerisch Ihr Wissen über Elektronik, moderne Mikrocontroller-Developmentboards und Programmiersprachen. Schon für weniger als zehn Euro können Sie erste Umweltdaten erfassen und Ihr System Schritt für Schritt mit wachsendem Interesse weiter ausbauen. Aus dem Inhalt: Wind und Wetter auf der Spur Wetterdisplay mit OpenWeatherMap und Vakuum-Fluoreszenzanzeige Flüchtige organische Verbindungen in der Atemluft Mit MQ-Sensoren arbeiten: Kohlenmonoxid messen – geruchlos aber extrem giftig CO2-Ampel mit ThingSpeak-IoT-Anbindung Ein Gießautomat für Ihre Pflanzen Gutes Raumklima: Temperatur und Luftfeuchtigkeit sind wichtige Kriterien Schickes Thermometer mit alter Röhrentechnik Nostalgisches Wetterhäuschen für die ganze Familie Luftdruck und Temperatur genau messen Sonnenbrand-Warngerät DIY-Sensor für die Sonnenscheindauer Das Smartphone zeigt’s an: Nebel oder klare Sicht? Erdbeben erkennen Pegelstände von Gewässern und Behältern pH-Wert von Gewässern bestimmen Radioaktive Strahlung erkennen Mit GPS wissen Sie weltweit, wo ihr Sensor ist Logdateien mit Zeitstempel auf SD-Karten speichern LoRaWAN, The Things Network und ThingSpeak LoRaWAN-Gateway für TTN betreiben Mega-Display mit Wettervorhersage

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Recently, the development of a tiny chip called the ESP8266 has made it possible to interface any type of microcontroller to a Wi-Fi AP. The ESP8266 is a low-cost tiny Wi-Fi chip having fully built-in TCP/IP stack and a 32-bit microcontroller unit. This chip, produced by Shanghai based Chinese manufacturer Espressif System, is IEEE 802.11 b/g/n Wi-Fi compatible with on-chip program and data memory, and general purpose input-output ports. Several manufacturers have incorporated the ESP8266 chip in their hardware products (e.g. ESP-xx, NodeMCU etc) and offer these products as a means of connecting a microcontroller system such as the Android, PIC microcontroller or others to a Wi-Fi. The ESP8266 is a low-power chip and costs only a few Dollars. ESP8266 and MicroPython – Coding Cool Stuff is an introduction to the ESP8266 chip and describes the features of this chip and shows how various firmware and programming languages such as the MicroPython can be uploaded to the chip. The main aim of the book is to teach the readers how to use the MicroPython programming language on ESP8266 based hardware, especially on the NodeMCU. Several interesting and useful projects are given in the e-book (pdf) to show how to use the MicroPython in NodeMCU type ESP8266 hardware: Project “What shall I wear today?”: You will be developing a weather information system using a NodeMCU development board together with a Text-to-Speech processor module. Project “The Temperature and Humidity on the Cloud”: You will be developing a system that will get the ambient temperature and humidity using a sensor and then store this data on the cloud so that it can be accessed from anywhere. Project “Remote Web Based Control”: You will be developing a system that will remotely control two LEDs connected to a NodeMCU development board using an HTTP Web Server application.

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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! ESP32-Audio-Transceiver-Board (Teil 2)Drahtlose Audioübertragung Induktiver AM-SenderPIO des Pico in einem Arduino-Sketch Navigieren durch drahtlose ProtokolleEin technischer Leitfaden Satellitenverfolgung mit LoRaDas TinyGS-Netzwerk: Raumfahrtdaten gelangen zur Erde 4G-kompatible SMS-FernbedienungSteuern Sie Ihr Zuhause per Telefon aus der Ferne Hochgeschwindigkeits-TastkopfHochohmige Eingänge für Signale bis 200 MHz Aus dem Leben gegriffenKafka KrakenSDREin phasenkohärenter SDR-Empfänger Geschwindigkeitstests mit dem RP2350Lohnt sich der Umstieg von Raspberry Pi Pico 1 auf Version 2? Kontaktlose E-Feld-Messungen (2)Ein Laser-Vibrometer zur Erfassung der Membranschwingungen Quarze und OszillatorenQuarzgenauigkeit durch die Kondensatorwahl verbessern Aller Anfang ...... ist gar nicht schwer: Spezielle Audio-ICs Einstieg ins Programmieren von Selbstbauprojekten SPECTRAN® V6 MobileModular konfigurierbarer Echtzeit-Spektrum-Analyzer für zuverlässige Messungen in allen Frequenzbereichen Die Zukunft der KI wird in Silizium geschmiedetEin Interview mit Anastasiia Nosova Autonomer Sensorknoten v2.0 (Systemarchitektur)Solarbetriebene Sensorplattform mit integriertem GPS, LoRaWAN und weiteren Funktionen Präzise PositionsbestimmungBluetooth Channel Sounding ausprobiert Die Zukunft der Wireless-KommunikationDie ultradünnen Festkörperbatterien von BTRY Testgetriebene Programmierung in der Firmware-Entwicklung Handy-gesteuertes ModellautoWLAN + ESP32 + Smartphone = Fernsteuerung 2025: Eine KI-OdysseeKI-Denkmodelle: die Gedankenketten-Revolution Solarladeregler mit MPP-TrackingTeil 3: Software und Inbetriebnahme Web-Streaming-Kamera mit Raspberry Pi ZeroVerwendung des ZeroTier-VPN

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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! MultiRF-EntwicklungsboardEine Plattform zur Evaluierung drahtloser Protokolle für kurze und lange Reichweiten Elektor wird 65Elektronik im Wandel seit 1961 WLAN-basierte Personenerkennung mit dem ESP32Wenn der Router zum Bewegungsmelder wird Drahtlose WaagenVier kleine Waagen = eine große Waage Walter, das kompakte IoT-ModulESP32-S3-SoC, LTE-M/NB-IoT-5G-Modem und GNSS-Receiver 3- und 4-Draht-RTD-Sensoren konditionierenMit Vollbereichsabgleich und Kabelkompensation Drei in einem: 2-Kanal-Oszilloskop/Generator/MultimeterEin Test des Fnirsi 2D15P electronica Fast Forward 2026 für Start-ups und Industriepartner EcologgingEine modulare IoT-Messstation für Umweltdaten Drahtlos-Anbindung für MedizingeräteImmer am Puls mit Bluetooth LE AudiotronicsBrummunterdrückung Mehr Effizienz in der Landwirtschaft durch KI-Modelle und SensorenSteigerung der landwirtschaftlichen Produktivität OPC UA – ein ÜberblickPlattformunabhängiger Datenaustausch Redox-Meter Instrumentenverstärker für Physik- und Engineering-Experimente Aktive differentielle Audio-FilterFür professionelle Frequenzweichen und mehr Elektor-Community-Tipps zu IoT und Sensoren Telegram-gesteuerter WarmwasserbereiterEine Lösung mit ESP32 und Arduino-Software 2026: Eine KI-OdysseeWas wurde eigentlich aus der Fuzzy-Logik? Projekt 2.0 Alarmsignalinjektor + PowerTools zum Suchen verdeckt verlegter Leitungen

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. Small Thermal Imaging CameraAn Arduino UNO-Based DIY Solution Project Update #3: ESP32-Based Energy MeterIntegration and Testing with Home Assistant 2024: An AI OdysseyEnhancing Object Detection: Integrating Refined Techniques Raspberry Pi Goes AINew Kit Incorporates M.2 HAT+ With AI Accelerator Weather Station SensorsWhich One Should You Choose? AI-Based Water Meter Reading (1)Get Your Old Meter Onto the IoT! A GSM AlarmHarnessing GSM Technology for Remote Garage Safety Low-Power Thread Devices Optimized and ScrutinizedLow Power … Low Effort? From Life’s ExperienceThe Gender Gap DIY Cloud ChamberMaking Invisible Radiation Visible SparkFun Thing Plus MatterA Versatile Matter-Based IoT Development Board IoT RetrofittingMaking RS-232 Devices Fit for Industry 4.0 Enabling IoT with 8-Bit MCUs Technology Drives SustainabilityAdvances Lead to More Efficient Use of Energy in Many Applications AWS for Arduino and Co. (1)Using AWS IoT ExpressLink in Real Life Airflow Detector Using Arduino OnlyNo External Sensors Needed! Water Leak DetectorConnected to Arduino Cloud CrystalsPeculiar Parts, the Series Universal Garden LoggerA Step Towards AI Gardening Analog 1 kHz GeneratorSine Waves with Low Distortion Miletus: Using Web Apps OfflineSystem and Device Access Included! From 4G to 5GIs It Such an Easy Step? Starting Out in Electronics……Balances Out

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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 Unitree G1 is a modern humanoid robot that impresses with its remarkable flexibility and advanced technology. With an exceptionally wide range of joint movement and up to 43 joint motors, it exceeds the agility of a typical human. Powered by imitation learning and reinforcement learning, its robotic systems are continuously developed and optimized through artificial intelligence. One of the G1's most impressive features is its ability to autonomously move into a walking position as soon as it touches the ground – no external assistance required! It can immediately start moving, demonstrating a high level of independence and adaptability. The G1 is also equipped with a force-controlled, highly dexterous hand that operates with both sensitivity and precision, thanks to its combination of force and position control. This hand closely mimics human movements, allowing for precise object manipulation. Features Intel RealSense D435 Depth Camera Livox MID-360 3D LiDAR Microphone array (noise and echo cancellation) 5 W stereo speaker Extra large quick release battery Single arm degrees of freedom (shoulder 2 + elbow 2) Hollow joint wiring of the whole machine (no external cables) Maximum torque at joints 120 N.m Single leg degrees of freedom (hip 3, knee 1, ankle 2) Moving speed of 2 m/s Specifications Height, Width and Thickness (Stand) 1320 x 450 x 200 mm Height, Width and Thickness (Fold) 690 x 450 x 300 mm Weight (with Battery) approx. 35 kg Total Degrees of Freedom（Joint Freedom 23 Single Leg Degrees of Freedom 6 Waist Degrees of Freedom 1 Single Arm Degrees of Freedom 5 Joint output bearing Industrial grade crossed roller bearings (high precision, high load capacity) Joint motor Low inertia high-speed internal rotor PMSM (Permanent Magnet Synchronous Motor – better response speed and heat dissipation) Maximum Torque of Knee Joint 90 N.m Arm Maximum Load approx. 2 kg Calf + Thigh Length 0.6 m Arm Span approx. 0.45 m Extra Large Joint Movement Space • Waist joint: Z ±155°• Knee joint: 0~165°• Hip joint: P ±154°, R -30~+170°, Y ±158° Full Joint Hollow Electrical Routing Yes Joint Encoder Dual encoder Cooling System Local air cooling Power Supply 13 string Lithium battery Basic Computing Power 8-core high-performance CPU Sensing Sensor Depth Camera + 3D LiDAR Microphones 4 Microphone Array Speaker 5 W stereo speaker Wireless WiFi 6, Bluetooth 5.2 Smart Battery (Quick Release) 9000 mAh Charger 54 V/5 A Manual Controller Yes Battery Life approx. 2 hours Upgraded Intelligent OTA Yes

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. AI Tools for Hardware PrototypingWhat Helps, What Does Not, and Where the Engineer Still Has to Sit ZSWatch — From Idea to ProductPart 1: A Completely Open Smartwatch Three-Way Tone ControlHigh-End — For That Little Bit Extra electronica Fast Forward 202610 Years of Innovation Microcontroller PrototypingAn Overview of Popular Boards Prototyping BreadboardsPeculiar Parts, the Series Designing for OrbitA Maker’s Guide to COTS Selection, Radiation Resilience, and Mission Architecture Thermal Management for Reliable ElectronicsWhen Every Degree Counts From Concept to GadgetBuilding Embedded Systems That Ship Understanding the EU Cyber Resilience ActWhat the CRA Demands and How to Meet It: A Guide for Embedded Engineers Lusight: Printed Displays You Can Reveal with Your PhoneDiscover What Is Inside the Badge on the Cover of Elektor’s electronica Edition Teaching a Robot Arm to See and MoveAI-Driven Manipulation Using a 3D-Printed Robot Loop Antenna with RF BricksPart 2: Signal Processing From Prototype to ProductionPractical Lessons from the Elektor Community Project UpdatesFeedback, Ideas, Corrections Handheld Audio GeneratorA Reference Signal Source for Quick Audio Systems Setup AudiotronicsMore Distortion, and a Level-Matching Amplifier 2026: An AI OdysseyWhen AI Starts Building AI Wireless Workshop (2)Radio Modules Unlocked: 2.4-GHz nRF24L01P Transceiver The Digital Path Building an Open-Source SmartwatchDaniel Kampert on ZSWatch, Open Hardware, and Engineering Trade-Offs How to Prepare for Professional SMD Assembly Engineering Beyond the BenchSystem Integration, Troubleshooting, and Real-World Testing Elektor at 65Projects from Novembers and Decembers Past Avionics Instrument SimulatorESP32-S3-Based, with Round HMI Display

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. What to expect This Elektor edition guest-edited by Edge Impulse explores the edge AI workflow, from data collection and model training to deployment and optimization: End-to-End Edge AIA hands-on object detection series that walks through the complete machine learning pipeline on embedded hardware. High-Resolution, High-Speed Object Counting (Nvidia Jetson Nano, TensorRT)Pushing inference speed and precision for visual counting applications. PCB Defect Detection with Computer Vision (Raspberry Pi)Smarter manufacturing through embedded vision. Smart Building Ventilation with Sensor FusionAI-powered environmental optimization for energy efficiency. Analog Meter Reading (Arduino Nicla Vision)A TinyML approach to automating analog infrastructure. Smart Appliance Control Using Voice Commands (Nordic Thingy:53)Speech recognition at the edge. Liquid Classification with TinyML (Seeed Wio Terminal + TDS Sensor)Combining IoT sensing and embedded ML for fluid analysis. Surgery Inventory Object DetectionApplying real-time vision to healthcare logistics. Plus, the magazine includes exclusive interviews with: Edge Impulse co-founders Zach Shelby and Jan Jongboom; Qualcomm Technologies VP of product management Manny Singh; and EDGE AI FOUNDATION CEO Pete Bernard. Also included are a Tech the Future essay titled "AI at the Edge: Powering the Next Generation of Devices," an Industry Case Study on GlobalSense, and more. Contents What the Heck Is Edge AI Anyway?Bringing Intelligence to the Device Meet Edge Impulse StudioEasily Build and Deploy Edge AI Models Keyword Spotting with Edge ImpulseCollect, Train, and Deploy Smart Appliance Control Using Voice Commands with the Nordic Thingy:53 Key Terms for Understanding Edge AI and Machine Learning Crash Course: Getting Started with Edge ImpulseLearn to Collect, Train, and Deploy an ML Model with the Arduino Nano 33 BLE Sense A New Chapter for ArduinoFrom Hobby Board to Edge Computing Powerhouse Getting Started with Object Detection on Edge Devices PCB Defect DetectionComputer Vision with Raspberry Pi Scaling AI to the Smallest Devices Optimizing Power Efficiency in Battery-Driven Edge AI Devices AI ToasterWhen Edge AI Meets Breakfast Thundercomm Rubik Pi 3Raspberry Pi Familiarity Meets Edge AI Leadership, Embedded ML, and the Edge Revolution Vision Language Models for the EdgeCascading Models for Better Reliability Get to Know Edge ImpulseQuestions from the Elektor Community Project Update #5: ESP32-Based Energy MeterUsing Edge AI to Recognize Household Loads Motion Recognition with Anomaly DetectionAn End-to-End Tutorial Smart Ventilation System: Fusing Sound and Environmental DataA Dual-MCU Machine Learning Approach for Automated Window and Louver Control Bringing Voice Control to Earbuds and Headsets AI at the Edge: Powering the Next Generation of Devices

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Ready-to-use devices and self-built Arduino nodes in the 'The Things Network' LoRaWAN has developed excellently as a communication solution in the IoT. The Things Network (TTN) has contributed to this. The Things Network was upgraded to The Things Stack Community Edition (TTS (CE)). The TTN V2 clusters were closed towards the end of 2021. This book shows you the necessary steps to operate LoRaWAN nodes using TTS (CE) and maybe extend the network of gateways with an own gateway. Meanwhile, there are even LoRaWAN gateways suitable for mobile use with which you can connect to the TTN server via your cell phone. The author presents several commercial LoRaWAN nodes and new, low-cost and battery-powered hardware for building autonomous LoRaWAN nodes. Registering LoRaWAN nodes and gateways in the TTS (CE), providing the collected data via MQTT and visualization via Node-RED, Cayenne, Thingspeak, and Datacake enable complex IoT projects and completely new applications at very low cost. This book will enable you to provide and visualize data collected with battery-powered sensors (LoRaWAN nodes) wirelessly on the Internet. You will learn the basics for smart city and IoT applications that enable, for example, the measurement of air quality, water levels, snow depths, the determination of free parking spaces (smart parking), and the intelligent control of street lighting (smart lighting), among others.

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Practical Low-Cost Methods for Reliable PCB Production This book explains how to carry out reliable SMD assembly using affordable tools and small-scale equipment. It follows the complete workflow step by step, including tool selection, solder paste handling, stencil use, component placement, reflow methods, inspection, and rework. The focus is on bench-level and small-lab production rather than industrial assembly lines. It shows practical methods for building single and double-sided SMD boards with repeatable results. Topics include solder paste and flux, temperature profiles, hot air and hotplate techniques, small reflow ovens, inspection methods, and defect correction. Checklists and example workflows are included to help reduce errors and improve consistency. Key features: Tools and supplies for SMD assembly and rework Solder paste types, storage, and handling Stencils and paste application methods Pick and place workflow and component orientation Temperature profiles and reflow methods Hot air, hotplate, and reflow oven processes Inspection and quality control Common defects such as tombstoning and solder bridges Practical rework and component replacement Bench-level professional workflows and checklists This book is designed as a practical bench reference for anyone who wants to assemble and troubleshoot their own SMD boards with reliable results.

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