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A Hands-on Guide to Crafting Your Own Power Plant The book you are about to read provides a step-by-step guide for building a renewable energy power plant at home. Our goal was to make the book as practical as possible. The material is intended for immediate application with a small amount of theory. Yet, the theory is important as a foundation that saves time and effort by disabusing the readers of potential misconceptions. Specifically, upon having a firm understanding of photovoltaic physics, you will not be inclined to fruitlessly search for 90% efficient solar panels! We want our readers to be the “doers”. If the book gets covered in grime and some pages become torn while you are building your power plant – this is the best compliment to us. The book covers solar and wind energy. Also, a curious power source based on manure is discussed as well, giving the doers an opportunity to further develop the manure fuel cell. It is important to note that there are many companies offering installation of complete solar solutions. Upon installing the panels, the system is not owned by the customer. Therefore, there is no freedom for experimentation and optimization. Also, none can beat the cost of a DIY solution as well as the ultimate satisfaction. All that is written here is a result of us building a renewable energy solution in Southern California. As the book was completed, the energy began flowing!

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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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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. Arduino Portenta Machine Control and Arduino Portenta H7A CAN-to-MQTT Gateway Demo Project Unboxing the Elektor LCR Meter with David Cuartielles MicroPython Enters the World of Arduino Connected Projects, SimplifiedDive Into the Arduino Cloud Introduction to TinyMLBig Is Not Always Better Arduino K-Way Writing Arduino Sketches Just Got Better Get to Know Arduino Getting Started with the Portenta X8Manage Software Securely with Containers Build, Deploy, and Maintain Scalable, Secure ApplicationsWith Arduino Portenta X8 Featuring NXP’s i.MX 8M Mini Applications Processor and EdgeLock SE050 Secure Element How I Automated My HomeArduino CEO Fabio Violante Shares Solutions Altair 8800 SimulatorHardware Simulation of a Vintage Computer MS-DOS on the Portenta H7Run Old-School Software on Contemporary Hardware Grow It YourselfA Digitally Controlled, Single-Box Solution for Indoor Farming Save the Planet With Home Automation?MQTT on the Arduino Nano RP2040 Connect Go Professional with Arduino Pro Smart Ovens Take a Leap Into the Future Tagvance Builds Safer Construction Sites with Arduino Santagostino Breathes Easywith Remote Monitoring that Leverages AI for Predictive Maintenance Security Flies High with RIoT Secure’s MKR-Based Solution Open-Source Brings a New Generation of Water Management to the World SensoDetect Deforestation with Sound Analysis The Mozzi Arduino Library for Sound SynthesisInsights from Tim Barrass The New Portenta X8 (with Linux!) and Max Carrier Redefine What’s Possible How Using Arduino Helps Students Build Future Skills Must-Haves for Your Electronics Workspace The Importance of Robotics in Education Dependable IoT Based Upon LoRa Unboxing the Portenta Machine Control 8-Bit Gaming with Arduboy Reducing Water Usage at Horseback Riding TracksAn IoT to Constantly Monitor Soil Humidity and Temperature Levels The Panettone ProjectA sourdough starter management and maintenance system Supporting Arduino Resellers Space Invaders with Arduino Art with ArduinoInspiring Insights from Artists and Designers Arduino Product Catalogue The Future of Arduino

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Learn to 3D Model & 3D Print with Tinkercad With this book and the complementary videos, you’ll be 3D printing in no time at all. This course is meant to have you make casings for electronic components but also goes into optimizing your print technique as well as adding a little flair to your 3D creations. The course is perfect for you if you just bought your (first) 3D printer and want to print your own designs as soon as possible while also being able to get more background information. You’ll get to know the workings of a 3D printer and what software to use to model your object, not forgetting to make it print perfectly. We’ll even use the magic of 3D printing to create things that appear impossible to make (this fast and simple) with any other rapid-prototyping technique. At the end of this course, it’ll be second nature for you to design an object for 3D printing and fine-tune your print-setting to get the perfect print! The book includes the following 7 video tutorials: Introduction Basic 3D modeling for 3D printing Modeling a casing Post-processing Pushing the limits Movable parts Snap fits

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Most people are increasingly confronted with the applications of Artificial Intelligence (AI). Music or video ratings, navigation systems, shopping advice, etc. are based on methods that can be attributed to this field. The term Artificial Intelligence was coined in 1956 at an international conference known as the Dartmouth Summer Research Project. One basic approach was to model the functioning of the human brain and to construct advanced computer systems based on this. Soon it should be clear how the human mind works. Transferring it to a machine was considered only a small step. This notion proved to be a bit too optimistic. Nevertheless, the progress of modern AI, or rather its subspecialty called Machine Learning (ML), can no longer be denied. In this book, several different systems will be used to get to know the methods of machine learning in more detail. In addition to the PC, both the Raspberry Pi and the Maixduino will demonstrate their capabilities in the individual projects. In addition to applications such as object and facial recognition, practical systems such as bottle detectors, person counters, or a “talking eye” will also be created. The latter is capable of acoustically describing objects or faces that are detected automatically. For example, if a vehicle is in the field of view of the connected camera, the information 'I see a car!' is output via electronically generated speech. Such devices are highly interesting examples of how, for example, blind or severely visually impaired people can also benefit from AI systems.

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Mit dem JOY-iT PS1440-C-Pro erhalten Sie ein programmierbares Labornetzteil, das Gleichspannungen von 0,01 bis 60 V und Gleichströme von 0,01 bis 24 A am Spannungsausgang liefert. Über das intuitive Bedienfeld können Sie bis zu 9 verschiedene Gleichspannungseinstellungen programmieren, speichern und abrufen. Außerdem lassen sich individuelle Schutz- und Begrenzungsfunktionen konfigurieren – beispielsweise ein Überspannungsschutz. Alle Einstellungen lassen sich bequem über die Tastatur und/oder den Drehregler anpassen und werden übersichtlich auf dem hochauflösenden 2,4"-Farbdisplay angezeigt. Für verbesserte Konnektivität verfügt das PS1440-C-Pro über eine RS485-Schnittstelle für robuste Kommunikation über große Entfernungen. Dadurch eignet es sich ideal für komplexe Setups, bei denen Signalstabilität, Störfestigkeit und zuverlässige Datenübertragung entscheidend sind. Der mitgelieferte Stecker gewährleistet eine sichere Verbindung und verbessert so die Zuverlässigkeit und Leistung Ihrer Laborausrüstung. Features Sofort einsetzbares Komplettgerät RS485-Schnittstelle Batterieladefunktion Werteingabe bequem über Keypad möglich Überstrom- & Überspannungsschutz einstellbar Integrierte RTC, NTC-Temperatursensor Beiliegende, detaillierte Dokumentation in Deutsch, Englisch & Französisch Technische Daten Eingangsspannung 230 V Ausgangsspannung 0-60 V Ausgangsstrom 0-24 A Ausgangsleistung 0-1440 W Genauigkeit der Eingangsspannung ±1% + 5 Ziffern Genauigkeit der Ausgangsspannung ±0,3% + 3 Ziffern Genauigkeit des Ausgangsstroms ±0,5% + 5 Ziffern Batteriespannung ±0,5% + 3 Ziffern Auflösung der Eingangsspannungsmessung 0,01 V Auflösung der Ausgangsspannungsmessung 0,01 V Aktuelle Messauflösung 0,01 V Auflösung der Batteriespannungsmessung 0,01 V Reaktionszeit im Konstantspannungsmodus 2 ms bei 0,1-5 A Lastregelung im Konstantspannungsmodus ±0,1% + 2 Ziffern Lastregelung im Konstantstrommodus ±0,1% + 3 Ziffern Messbereich elektrische Ladung 0-9999,99 Ah Messbereichsenergie 0-9999,99 Wh Statistische Fehler bei der elektrischen Ladung & Energie ±2% Ausgangswelligkeit 100 mV VPP bei 12 V150 mV VPP bei 24 V Sensortemperatur-Erkennungsbereich −10~+100 °C Genauigkeit der Sensortemperaturerkennung ±3°C Arbeitsmodus Abwärtsbetrieb Bildschirmhelligkeitseinstellung Stufe 0-5, insgesamt 6 Stufen Zulässige Arbeitstemperatur −10~40°C Abmessungen 170 x 93 x 340 mm Lieferumfang JOY-iT PS1440-C Netzteil 2-poliger Stecker für RS485-Schnittstelle Netzkabel Handbuch Downloads Datasheet MODBUS Protocol PC Software Driver for Windows

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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

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An Introduction to Real and Reduced-Scale Autonomous Vehicles Want to cut through the hype and get to the core of autonomous and connected vehicles? Then this book is your clear, accessible guide to a complex and fast-moving field. Starting with Intelligent Transport Systems (ITS), it walks you through the essential foundations, including Advanced Driver Assistance Systems (ADAS) – the stepping stones to full autonomy. Explore how self-driving cars mimic human behavior through a loop of perception, analysis, decision, and action. Discover the key functions that make it possible: localization, obstacle detection, driver monitoring, cooperative awareness – and the most challenging of all, trajectory planning, across strategic, tactical, and operational levels. Will vehicles be connected? The debate is on – but the standards are already here. Learn how connectivity, infrastructure, and vehicles can work in synergy through the innovative concept of floating car data (FCD). Dive into real-world implementation: with embedded electronics account-ing for over 30% of a modern vehicle‘s cost, we unpack the architecture, coordination, and tools required to manage the complexity – brought to life with a hands-on case study. To finish, we open the door to the future: building your own 1:10 scale autonomous vehicle. No plug-and-play solutions – just the foundations for a collaborative, creative, and geek-friendly challenge. Let’s drive the future together.

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A Hands-on Guide to Crafting Your Own Power Plant The book you are about to read provides a step-by-step guide for building a renewable energy power plant at home. Our goal was to make the book as practical as possible. The material is intended for immediate application with a small amount of theory. Yet, the theory is important as a foundation that saves time and effort by disabusing the readers of potential misconceptions. Specifically, upon having a firm understanding of photovoltaic physics, you will not be inclined to fruitlessly search for 90% efficient solar panels! We want our readers to be the “doers”. If the book gets covered in grime and some pages become torn while you are building your power plant – this is the best compliment to us. The book covers solar and wind energy. Also, a curious power source based on manure is discussed as well, giving the doers an opportunity to further develop the manure fuel cell. It is important to note that there are many companies offering installation of complete solar solutions. Upon installing the panels, the system is not owned by the customer. Therefore, there is no freedom for experimentation and optimization. Also, none can beat the cost of a DIY solution as well as the ultimate satisfaction. All that is written here is a result of us building a renewable energy solution in Southern California. As the book was completed, the energy began flowing!

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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. MultiRF ontwikkelboardEen platform voor het evalueren van draadloze protocollen op korte en lange afstand Elektor wordt 65Baanbrekend op het gebied van elektronica sinds 1961 Persoonsdetectie via wifi op een ESP32Wanneer uw router een bewegingssensor wordt Draadloze weegschalenVier kleine weegschalen maken een grote weegschaal Walter, de compacte IoT-moduleESP32-S3 SoC, LTE-M/NB-IoT 5G-modem en GNSS-ontvanger 3- en 4-draads RTD-sensorconditioneringMet volledige afstelling en kabelcompensatie 3-in-1 2-kanaals oscilloscoop/generator/multimeterEen review van de Fnirsi 2D15P electronica Fast Forward 2026 nodigt start-ups en partners uit de industrie uit EcologgingEen modulair IoT-milieustation voor onderzoek in het veld Draadloze connectiviteit in medische toepassingenAltijd op de hoogte met Bluetooth LE AudiotronicaBromonderdrukking De efficiëntie in de landbouw verhogen met AI-modellen en sensorenDe landbouwproductiviteit verhogen OPC UA, een overzichtPlatform-onafhankelijke gegevensuitwisseling Redoxmeter Instrumentation amplifier voor fysica- en techniekexperimenten Actieve differentiële audiofiltersVoor professionele cross-overs en meer Communityperspectieven van Elektor op IoT & sensoren Telegramgestuurde interface module voor een boilerEen oplossing op basis van een ESP32 en Arduino software 2026: An AI OdysseyWat is er gebeurd met fuzzy logic? Err-lectronics Alarmsignaalinjector en bruut geweldHulpmiddelen om kabelbreuken op te sporen

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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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Das QAV250-Kit ist der perfekte Einstieg in die Entwicklung auf PX4 oder Ardupilot. Es kombiniert einen Carbonfaser-250-Rennrahmen und wichtige Elektronik mit dem Mini-Autopiloten Pixhawk 6C. Der Bausatz ist einfach zu montieren, Löten ist nicht erforderlich. Technische Daten Micro-Leistungsmodul (PM06 v2) Motoren: 2207 KV1950 Radstand: 250 mm Abmessungen: 198 x 235 x 70 mm Gewicht: 347 g Lieferumfang Carbonfaser-250-Flugzeugzelle mit Hardware Micro-Leistungsmodul (PM06 v2) Motoren: 2207 KV1950 5" Kunststoff-Requisiten Vollständig montiertes Power Management Board mit ESCs (BLHeli S ESC 20A) Akkugurte Hinweis: Der LiPo-Akku ist nicht im Lieferumfang enthalten.

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