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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. PIO Programming on the Raspberry Pi PicoNine Instructions, Many Possibilities Breaking AI Out of the BrowserUsing AI CLIs to Code, Compile, and Validate Embedded Projects The Scrutiny DebuggerDebug, Visualize, and Test Embedded C/C++ Code Sigfox Breakout Board (1)A Self-Built Radio BoB Low-Noise Power Supply (2)Construction, Assembly, and Practical Implementation Simple Signal Generator Using the RP2040Analog and Digital Signals for Around €10 Navigating the Future of Smart Homes with Matter and Edge AIAre Matter’s Latest Updates and the Rise of Edge AI Finally Giving Engineers the Tools to Build the Intelligent, Seamless Smart Homes Users Have Been Promised? Differential Pressure SensorsPredictive Maintenance in HVAC-Systems Security by DesignEngineering Fundamentals Limit Failure Embedded Security Is No Longer Optional CRA and PQC Are Rewriting Embedded Security PrioritiesWhy Even Small IoT and Industrial Firms Need an Upgrade Plan embedded world 2026An Interview With Benedikt Weyerer, Executive Director of embedded world Hands on with I3CUsing Hardware from ST and Microchip The BLEnky ProjectRapid Prototyping of Bluetooth Low Energy Applications Pulse Width ModulationFrom a Simple On/Off Thermostat to a Smoothed DC Analog Signal AudiotronicsEar-Pleasing Electronics for DIY Construction From Life’s ExperienceRead The F...ing Manual! ESP32 Audio Transceiver Board (Part 4)Tuning the Clocks - And a Wired Option 2026: An AI OdysseyThe 2025 Vibe-Coding Hangover Symmetrical DC LoadDC Load, Static or Dynamic, and Symmetrical Counting Faces with MaixCAMAn Easy Way to Capture Audience Sizes

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Practical Projects in Analog, Audio and Beyond Discover a remarkable collection of more than 450 electronics projects published in Elektor Magazine and carefully selected by renowned Elektor Lab engineer Ton Giesberts. The USB drive brings together a wide variety of circuits, designs, and practical project ideas created by numerous Elektor authors and engineers over the years. Covering a broad range of electronics topics, this extensive archive is a valuable source of knowledge and inspiration for engineers, makers, students, and electronics enthusiasts. More than 450 selected Elektor projects Carefully compiled by Elektor engineer Ton Giesberts Ideal for building, experimenting, and discovering new ideas Explore decades of Elektor expertise in one comprehensive project collection. Highlights Q-Watt Audio Power Fortissimo-100 High-End Amplifier Buffer Board for the Raspberry Pi 400 USB-to-Multi-Protocol Serial Converter DDS Function Generator AC/DC Power Meter Charge-a-Phone Specifications Storage 8 GB Connectors 1x USB-A1x USB-C System requirements PC with Adobe Reader 7.0 or higher Web browser

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This bundle is all about designing projects based on the 555 timer IC. The book features over 45 fully tested and documented projects. Together with the kit, which contains more than 130 through-hole components, you can build all the projects described on a breadboard. The setup also makes it easy to modify and experiment with the projects. Over 45 Builds for the Legendary 555 Chip (and the 556, 558) Some of the projects in the book are: Alternately Flashing Two LEDs Changing LED Flashing Rate Touch Sensor On/Off Switch Switch On/Off Delay Light-Dependent Sound Dark/Light Switch Tone Burst Generator Long Duration Timer Chasing LEDs LED Roulette Game Traffic Lights Continuity Tester Electronic Lock Switch Contact Debouncing Toy Electronic Organ Multiple Sensor Alarm System Metronome Voltage Multipliers Electronic Dice 7-Segment Display Counter Motor Control 7-Segment Display Dice Electronic Siren Various Other Projects Kit Contents Resistors 1x 15 kΩ 1x 68 kΩ 2x 47 kΩ 1x 82 kΩ 2x 820 Ω 1x 8.2 kΩ 3x 10 kΩ 1x 1.8 kΩ 1x 6.8 kΩ 14x 2.2 kΩ 10x 680 Ω 1x 27 kΩ 1x 5.6 kΩ 1x 560 kΩ 1x 4.7 kΩ 1x 3.3 kΩ 3x 33 kΩ 1x 36 kΩ 2x 100 kΩ 5x 1 kΩ 1x 3.9 kΩ 2x 56 kΩ 2x 12 kΩ 1x 10 kΩ potentiometer 1x 1 MΩ potentiometer 2x 50 kΩ potentiometer 3x 20 kΩ potentiometer 1x 10 kΩ potentiometer 1x 10 kΩ potentiometer 1x 50 kΩ potentiometer 1x 100 kΩ potentiometer 1x 50 kΩ potentiometer Capacitors 1x 0.33 μF 1x 1 μF 1x 10 nF 1x 22 nF 1x 47 nF 1x 100 nF 1x 10 μF electrolytic 1x 33 μF electrolytic 2x 100 μF electrolytic LEDs 10x 5 mm red LED 10x 3 mm red LED 3x 3 mm yellow LED 3x 3 mm green LED 1x Common-cathode 7-segment LED Semiconductors 3x 555 timer 1x CD4017 counter 1x CD4026 counter 1x CD4011 NAND gate 4x 1N4148 diode 1x IRFZ46N MOSFET 1x Thermistor 1x Light dependent resistor (LDR) Miscellaneous 1x Passive buzzer 1x Active buzzer 1x SG90 servo 1x 8 Ω mini loudspeaker 1x 9 V DC brushed motor 1x 5 V relay 1x 9 V battery clip 7x Pushbutton switches 1x Breadboard 1x Breadboard jumper wires

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Dieses Buch beschäftigt sich mit DC-Elektromotoren und deren Einsatz in Arduino und Raspberry Pi Zero W-Projekten. Das Buch enthält zahlreiche Motorsteuerungsprojekte, wobei jedes Projekt denselben Aufbau besitzt: Projekttitel Beschreibung des Projekts Blockschaltbild Schaltplan Zusammenbau Vollständiges Programmlisting Umfassende Erläuterung des Programms Die Projekte im Buch umfassen die Standard-DC-Motoren, Schrittmotoren, Servomotoren und mobile Roboter. Das Buch richtet sich an Elektronik-Bastler, die Projekte mit dem Arduino Uno oder dem Raspberry Pi Zero W entwickeln und dabei Motoren einsetzen möchten. Ein besonders reizvolles Projekt dieses Buches ist die Fernsteuerung eines mobilen Roboters von einem Mobiltelefon aus mit dem Arduino Uno sowie dem Raspberry Pi Zero W. Dieses Projekt wird sowohl über Wi-Fi als auch über Bluetooth mit dem Handy gesteuert. Die Leser sollten in der Lage sein, einen Roboter vorwärts, rückwärts, links oder rechts zu bewegen, indem sie einfache Befehle vom Mobiltelefon aus senden. Die vollständigen Programmlistings aller Projekte sowie die detaillierten Programmbeschreibungen finden Sie im Buch. Der Leser kann die Projekte Schritt für Schritt nachbauen oder sie an die eigenen Bedürfnisse anpassen.

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Secure, Modular, Open-Source and Self-Sufficient Ever since the Raspberry Pi was introduced, it has been used by enthusiasts to automate their homes. The Raspberry Pi is a powerful computer in a small package, with lots of interfacing options to control various devices. This book shows you how you can automate your home with a Raspberry Pi. You’ll learn how to use various wireless protocols for home automation, such as Bluetooth, 433.92 MHz radio waves, Z-Wave, and Zigbee. Soon you’ll automate your home with Python, Node-RED, and Home Assistant, and you’ll even be able to speak to your home automation system. All this is done securely, with a modular system, completely open-source, without relying on third-party services. You’re in control of your home, and no one else. At the end of this book, you can install and configure your Raspberry Pi as a highly flexible home automation gateway for protocols of your choice, and link various services with MQTT to make it your own system. This DIY (do it yourself) approach is a bit more laborious than just installing an off-the-shelf home automation system, but in the process, you can learn a lot, and in the end, you know exactly what’s running your house and how to tweak it. This is why you were interested in the Raspberry Pi in the first place, right? Turn your Raspberry Pi into a reliable gateway for various home automation protocols. Make your home automation setup reproducible with Docker Compose. Secure all your network communication with TLS. Create a video surveillance system for your home. Automate your home with Python, Node-RED, Home Assistant and AppDaemon. Securely access your home automation dashboard from remote locations. Use fully offline voice commands in your own language. Download the software and view the errata for the book on GitHub.

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The Elektor Zener Diode Tester is essentially a constant-current source that can be switched in steps from 1 to 50 mA. It can be used to test Z-diodes up to a maximum of 54 V. Thanks to a 60-V step-up converter, the device can be powered by the usual 5 to 12 V. The principle of this tester is straightforward. A Z-diode or other DUT (device under test, such as an LED) is biased by an adjustable current source. The voltage across the DUT can be measured with a multimeter. The voltage of most (small) Z-diodes is specified at a current of 5 mA. Depending on the application, the voltage at other currents can also be of interest. That is why six current settings are available: 1, 2, 5, 10, 20, and 50 mA. LEDs are often specified at a current of 20 mA. What can be tested is: Whether a Z-diode is defective (short circuit or high impedance). Whether a Z-diode exhibits the correct Z-voltage. How a Z-voltage changes with different currents. What exact voltage is present at an integrated voltage reference. Whether LEDs in a series chain differ in brightness (hence the 20 mA current). What the current gain is for different base currents in (power) transistors. The kit contains all parts listed in the bill of materials including PCB and enclosure. Specifications Supply voltage 5…12 V/2 A (USB-C) Supply current (Itest = 50 mA) 1.1 A @ 5 V / 412 mA @ 12 V Selectable currents 1, 2, 5, 10, 20, and 50 mA Max. test voltage >54 V @ Itest ≥1 mA Max. output voltage 60 V @ Itest = 0 mA Voltage limit at 5 V 4.5 V @ Itest = 1 mA / 5.18 V @ Itest = 50 mA Enclosure dimensions 110 x 82 x 44 mm PCB size 105.4 x 67.3 mm Connections 4 mm banana sockets for multimeter 2 mm banana sockets for test clips USB-C socket for power supply Included Resistors R1 = 3.3 kΩ, 600 mW, 1% R2 = 0.15 Ω, 1 W, 5%, LS 12.7 mm, ø 3.5 mm R3, R8 = 180 Ω, 600 mW, 1% R4, R6, R16 = 1 kΩ, 600 mW, 1% R5, R19 = 47 kΩ, 600 mW, 1% R7 = 3.9 kΩ, 1 W, 5%, LS 12.7 mm, ø 3.5 mm R9, R10, R12 = 10 kΩ, 600 mW, 1% R11, R13 = 100 Ω, 600 mW 1% R14 = 249 Ω, 600 mW, 1% R15 = 499 Ω, 600 mW, 1% R17 = 2.49 kΩ, 250 mW, 1% R18 = 4.99 kΩ, 250 mW, 1% Capacitors C1 = 470 uF / 35 V, 20%, Ir = 1.86 A, ø 12.5 mm, LS 5 mm, ESR = 0.038 Ω (Panasonic EEUTP1V471) C2 = 1 uF / 100 V, 10%, X7R, LS 5 mm C3 = 2.2 nF / 50 V, 10%, X7R, LS 5 mm C4, C7 = 100 nF / 100 V, 10%, X7R, LS 5 mm C5 = 100 uF / 100 V, 20%, ø 14 mm max., LS 5 mm C6 = 1 nF / 100 V, 10%, X7R, LS 5 mm Inductor L1 = 100 uH, Irms = 2.4 A, Isat = 3.5 A, 0.09 Ω, radial, pitch 2.5/5/10 mm, ø 14 mm max. (Kemet SBC8-101-242) Semiconductors D1 = MUR120G, DO-41 D2, D4 = STPS3150RL, DO-201AD D3 = Z-diode, 18 V, 1.3 W (BZX85C18) D5 = Z-diode, 5.1 V, 0.5 W (1N5231B) LED1 = LED in pushbutton S1 LED2 = LED, green, 3 mm IC1 = MC34063, DIP-8 IC2 = LM4040BIZ-5.0/NOPB, TO-92 (TO-226AA-3) IC3 = TL051CP, DIP-8 T1 = BC327.25, TO-92 T2 = STP40NF10L, TO-220 T3 = IRF9510PBF, TO-220 T4 = 2N7000, TO-92 Others K1, K2, S1, S3 = 2-way screw terminal block, LS 3.5 mm, max. 1.5 mm² connected to K1 = USB-C socket, 30 V/3 A, chassis mounted, wired, 9 x 16 mm connected to K2 = Banana Connector, 2 mm, Socket, 60 VDC, Panel Mount, red (Multicomp 24.102.1) connected to K2 = Banana Connector, 2 mm, Socket, 60 VDC, Panel Mount, black (Multicomp 24.102.2) Test clip, red, 30 VAC/60 VDC (Hirschmann 931467101) Test clip, black, 30 VAC/60 VDC (Hirschmann 931467100) S1 = Pushbutton, panel mount, SPST-NO, 30 DC/100 mA, with red LED S2 = Rotary Switch, 6 position, 2 pole, 30°, 250 V/150 mA S3 = Toggle switch, panel mount, SPDT, solder lugs, 28 VDC T2, T3 = Heat sink, 15°C/W, FK 214 SA-CB Enclosure Hammond 1591XXSSBK, ABS, 110 x 82 x 44 mm Knob for S2, round shaft 6 mm, ø 21 mm, with indicator line (Multicomp CP-LB21-6-6D) 4 x Self-tapping screw #4-1/4", carbon steel, pan head Banana plug, red, 2 mm, 60 VDC (Multicomp 25.205.1) Banana plug, black, 2 mm, 60 VDC (Multicomp 25.205.2) Banana socket, black 4 mm, panel mount Banana socket, red 4 mm, panel mount for LED1, LED2 = Pin header, 1 x 2, vertical, pitch 2.54 mm for LED1, LED2 = Pin socket, 1 x 2, vertical, pitch 2.54 mm for T2, T3 = M3 screw, 10 mm, steel, pan head 2 x M3 washer, plain, steel 4 x M3 nut for IC1, IC3 = DIP-8 socket Wire, black, 0.25 mm² (24 AWG), stranded 14 x 0.15 mm, 1 m Wire, red, 0.25 mm² (24 AWG), stranded 14 x 0.15 mm, 1 m PCB 250772-1 v1.1 Links Article Elektor Labs

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From Simple Ciphers to Secure Systems Understanding how to apply cryptography on modern microcontrollers is essential for building secure, reliable, and trustworthy systems. This book explains cryptography in the context of embedded hardware, from classical ciphers that illustrate core principles to modern techniques such as AES for practical high-security applications. By combining mathematical theory with real-world microcontroller implementations, readers learn not only how cryptography works, but also how to implement it effectively on systems with limited processing power and memory. The book is intended for students starting out in cryptography, hobbyists securing personal projects, and engineers looking for a structured guide to embedded security. The book covers these key topics in applied cryptography: Classical ciphers on Arduino Uno and Raspberry Pi Pico, with full programs: Spartan Scytale, Hebrew Atbash, Caesar, ROT13, Alberti Disk, Vigenère, Affine, Polybius, Playfair, Beaufort, Ottoman Codebook, and One-Time Pad. Hacking classical ciphers using microcontrollers, with examples. Pseudo-random (PRNG) and true random number generation (TRNG) on microcontrollers. Symmetric-key cryptography with full programs: DES and AES-128/256. Memory and speed constraints of cryptography on microcontrollers. Asymmetric cryptography: public/private keys, digital signatures, key distribution and derivation (KDF), RSA, and SHA-256 implementations. A complete secure communication program using RSA and AES-256. A glossary of commonly used cryptography terms.

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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. adaptateur de mesure USBTest du courant et des signaux des ports USB sortie boucle de courant 4-20 mA pour Arduino UnoUne interface de boucle de courant fiable et insensible aux interférences électromagnétiques commande automatique pour aspirateurGardez votre établi propre générateur DDS avec ATtiny testeur d'ampli-op V2Nouveau circuit imprimé – désormais compatible avec les CMS amplificateur audio à tube 550 mWson chaleureux des tubes à vide surveillance des fusiblesavec une LED clignotante préamplificateur RIAA HQExploitez tout le potentiel sonore de vos disques vinyles ! Outil de réglage pour platines vinylesGénérateur de lumière stroboscopique 100–120 Hz basé sur Arduino Elektor Classics : ampli vidéo gradateur à télécommande infrarougeContrôlez votre éclairage avec confort et précision comment utiliser switch…case avec des chaînes de caractères en C++/EDI Arduino détecteur d’aimantsAvec un simple capteur à effet Hall bouton de mise sous tension intelligent pour Raspberry PiUne solution pour Raspberry Pi jusqu’au modèle 4 astuces clés pour makersDes conseils pros pour vos projets projets pratiques avec le timer 555Commande de moteur CC et jeux de rapidité moniteur de charge CA simpleÉconomisez de l'énergie grâce à un appareil simple batteries externes en parallèleTrois jours d’autonomie VFO jusqu’à 15 MHzRéalisation avec un Raspberry Pi Pico accordeur de violon avec ATtiny202 Elektor Classics : ampli vidéo pour TV N&B capacimètre20 pF à 600 nF horloge quasi analogique Mk IIDeux anneaux LED pour les heures et les minutes concevez sans limites(grâce à l’écosystème complet d’Arduino) dé à lampes néon Elektor Classics : indicateur d'accord RTTY solutions matérielles inspirantes pour vos projets ESP Elektor Classics : alimentation 3 A LED RGB avec circuit de commande intégréLumière de précision : les ICLED établissent de nouvelles normes expérience : un Thérémine analogico-numérique ?Combiner des capteurs numériques modernes avec l’intemporel générateur analogique XR2206 carte émetteur-récepteur audio ESP32 (1)Démo : lecture de fichiers WAV depuis une carte SD infographies : Circuits et conception de circuits 2025 petit mixeur audioUne conception polyvalente et modulable minuteur intelligent pour éclairage d’escalierÉconomisez encore plus sur votre facture d’énergie ! modernisez vos voletsContrôlez les systèmes Velux avec un ESP32 et MQTT chauffe-pieds à transistorsConfort économe en énergie le quadricoptère M5Stamp Fly est-il le prochain drone Tello ? (Revue) optimiser la portée Wi-Fi de l’ESP32-C3 SuperMiniUne modification d’antenne simple et efficace station de soudage à air chaud ZD-8968Un outil de travail économique ou uniquement de l'air chaud ? testeur de radar de reculDétecter les pannes du système d’aide au stationnement d’un véhicule

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Nahezu alle Menschen werden zunehmend mit den Anwendungen der „Künstlichen Intelligenz“ (KI oder AI für engl. Artificial Intelligence) konfrontiert. Musik- oder Videoempfehlungen, Navigationssysteme, Einkaufsvorschläge etc. basieren auf Verfahren, die diesem Bereich zugeordnet werden können. Der Begriff „Künstliche Intelligenz“ wurde 1956 auf einer internationalen Konferenz, dem Dartmouth Summer Research Project geprägt. Eine grundlegende Idee war dabei, die Funktionsweise des menschlichen Gehirns zu modellieren und darauf basierend fortschrittliche Computersysteme zu konstruieren. Bald sollte klar sein, wie der menschliche Verstand funktioniert. Die Übertragung auf eine Maschine wurde nur noch als ein kleiner Schritt angesehen. Diese Vorstellung erwies sich als etwas zu optimistisch. Dennoch sind die Fortschritte der modernen KI, beziehungsweise ihrem Teilgebiet dem sogenannten „Machine Learning“, nicht mehr zu übersehen. Um die Methoden des Machine Learnings näher kennenzulernen, sollen in diesem Buch mehrere verschiedene Systeme zum Einsatz kommen. Neben dem PC werden sowohl der Raspberry Pi als auch der „Maixduino“ in den einzelnen Projekten ihre Fähigkeiten beweisen. Zusätzlich zu Anwendungen wie Objekt- und Gesichtserkennung entstehen dabei auch praktisch einsetzbare Systeme wie etwa Flaschendetektoren, Personenzähler oder ein „Sprechendes Auge“. Letzteres ist in der Lage, automatisch erkannte Objekte oder Gesichter akustisch zu beschreiben. Befindet sich beispielsweise ein Fahrzeug im Sichtfeld der angeschlossenen Kamera, so wird die Information „I see a car!“ über elektronisch erzeugte Sprache ausgegeben. Derartige Geräte sind hochinteressante Beispiele dafür, wie etwa auch blinde oder stark sehbehinderte Menschen von KI-Systemen profitieren können.

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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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Sprachsteuerung von IoT-Projekten mit Amazon Alexa gibt dem Leser einen tiefen Einblick in die Technik der Sprachsteuerung am Beispiel von Amazon Alexa. Es erklärt detailliert Schritt für Schritt, wie man Raspberry Pi, ESP8266/32 und Arduino mit einem Sprachassistenten verbindet und steuert. Dieses geschieht anhand von Projekten aus den Bereichen Hausautomation und Robotik. Der Leser erfährt, wie man Heizkessel, Roboter und Gartenhäuser mit dieser modernen Mensch-Maschine-Schnittstelle kommandieren kann. Der Autor Walter Trojan führt dabei den Leser in die vielschichtige Welt der Amazon Web Services ein, wo er neben dem Alexa Skills Kit weitere Module wie AWS Lambda und IoT Core kennenlernt. Das erwartet den Leser: Kapitel 1: Sprachassistenten setzen sich durch Kapitel 2: Alexa intern Kapitel 3: Der erste Alexa Skill Kapitel 4: Alexa Skills für Fortgeschrittene Kapitel 5: Erster Hardware-Skill auf Raspberry Pi Kapitel 6: Auch Alexa liebt die Arduino-IDE Kapitel 7: Hacks mit Schaltern Kapitel 8: Alexa steuert ein Gartenhaus Kapitel 9: Auch Roboter gehorchen Alexa Kapitel 10: Alexa geht fremd

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Learn programming for Alexa devices, extend it to smart home devices and control the Raspberry Pi The book is split into two parts: the first part covers creating Alexa skills and the second part, designing Internet of Things and Smart Home devices using a Raspberry Pi. The first chapters describe the process of Alexa communication, opening an Amazon account and creating a skill for free. The operation of an Alexa skill and terminology such as utterances, intents, slots, and conversations are explained. Debugging your code, saving user data between sessions, S3 data storage and Dynamo DB database are discussed. In-skill purchasing, enabling users to buy items for your skill as well as certification and publication is outlined. Creating skills using AWS Lambda and ASK CLI is covered, along with the Visual Studio code editor and local debugging. Also covered is the process of designing skills for visual displays and interactive touch designs using Alexa Presentation Language. The second half of the book starts by creating a Raspberry Pi IoT 'thing' to control a robot from your Alexa device. This covers security issues and methods of sending and receiving MQTT messages between an Alexa device and the Raspberry Pi. Creating a smart home device is described including forming a security profile, linking with Amazon, and writing a Lambda function that gets triggered by an Alexa skill. Device discovery and on/off control is demonstrated. Next, readers discover how to control a smart home Raspberry Pi display from an Alexa skill using Simple Queue Service (SQS) messaging to switch the display on and off or change the color. A node-RED design is discussed from the basic user interface right up to configuring MQTT nodes. MQTT messages sent from a user are displayed on a Raspberry Pi. A chapter discusses sending a proactive notification such as a weather alert from a Raspberry Pi to an Alexa device. The book concludes by explaining how to create Raspberry Pi as a stand-alone Alexa device.

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