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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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The FNIRDSI DSO-TC4 is a multifunctional transistor oscilloscope that is both comprehensive and practical. It is designed for use in maintenance and R&D applications, integrating an oscilloscope, transistor tester, and signal generator into a single device. Features Equipped with a 2.8-inch TFT color screen for a clear and intuitive display Built-in high-capacity rechargeable lithium battery (1500 mAh) with a standby time of up to 4 hours Compact and lightweight, ideal for mobile use Specifications Oscilloscope Analog Bandwidth 10 MHz Real-Time Sampling Rate 48 MSa/s Input Impedance 1 MΩ Coupling Mode AC/DC Test Voltage Range 1:1 Probe: 80 Vpp (+40 V) 10:1 Probe: 800 Vpp (+400 V) Vertical Sensitivity 10 mV/div~10 V/div (X1 range) Vertical Displacement Adjustable with indication Time Base Range 50ns~20s Trigger Mode Auto/Normal/Single Trigger Type Rising edge, Falling edge Trigger Level Adjustable with indication Waveform Freeze Yes (HOLD function) Automatic Measurement Max, Min, Avg, RMS, Vpp, Frequency, Cycle, Duty Cycle Component Tester Transistor Amplification factor "hfe"; Base-Emitter voltage "Ube", Ic/Ie, Collector-Emitter reverse leakage current "Iceo", Ices, Forward voltage drop of protection diode "Uf" Diode Forward voltage drop <5 V (Forward voltage drop, Junction capacitance, Reverse leakage current) Zener Diode 0.01~32 V Reverse Breakdown Voltage (K-A-A Test Area) Field-Effect Transistor (FET) JFET: Gate capacitance "Cg", Drain current Id under "Vgs", Forward voltage drop of protection diode "Uf" IGBT: Drain current Id under Vgs, Forward voltage drop of protection diode Uf MIOSTET: Threshold voltage "Vt", Gate capacitance "Cg", Drain-Source resistance "Rds", Forward voltage drop of protection diode "Uf" Unidirectional SCR Trigger voltage <5V, Gate level (Gate voltage) Bidirectional SCR Trigger current <6mA (Gate voltage) Capacitor 25pF~100mF, Capacitance value, Loss factor "Vloss" Resistor 0.01Ω~50MΩ Inductor 10μH~1000μH, DC resistance DS18B20 Temperature sensor, Pins: GND, DQ, VDD DHT11 Temperature and humidity sensor, Pins: VDD, DATA, GND Signal Generator Output Waveform Supports 13 waveform outputs Waveform Frequency 0-50 KHz Square Wave Duty Cycle 0-100% Waveform Amplitude 0.1-3.0 V General Display 2.8-inch TFT color screen Backlight Brightness adjustable Power Supply USB-C (5 V/1 A） Battery 3.7 V/1500 mAh Languages English, German, Spanish, Portuguese, Russian, Chinese, Japanese, Korean Dimensions 90 x 142 x 27.5 mm Weight 186 g Included 1x FNIRSI DSO-TC4 (3-in-1) Oscilloscope (10 MHz) 1x P6100 Oscilloscope probes (10X) 1x Alligator clip probe 3x Test hooks 1x Adapter 1x USB-C charging cable 1x Manual Downloads Manual Firmware V0.0.7 (+V1.0.9)

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Programming and Projects for the Minima and WiFi Based on the low-cost 8-bit ATmega328P processor, the Arduino Uno R3 board is likely to score as the most popular Arduino family member, and this workhorse has been with us for many years. Eleven years later, the long-overdue successor, the Arduino Uno R4, was released. It is built around a 48 MHz, 32-bit Arm Cortex-M4 microcontroller and provides significantly expanded SRAM and Flash memory. Additionally, a higher-precision ADC and a new DAC are added to the design. The Uno R4 board also supports the CAN Bus with an interface. Two versions of the board are available: Uno R4 Minima, and Uno R4 WiFi. This book is about using these new boards to develop many different and interesting projects with just a handful of parts and external modules. All projects described in the book have been fully tested on the Uno R4 Minima or the Uno R4 WiFi board, as appropriate. The project topics include the reading, control, and driving of many components and modules in the kit as well as on the relevant Uno R4 board, including LEDs 7-segment displays (using timer interrupts) LCDs Sensors RFID Reader 4x4 Keypad Real-time clock (RTC) Joystick 8×8 LED matrix Motors DAC (Digital-to-analog converter) LED matrix WiFi connectivity Serial UART CAN bus Infrared controller and receiver Simulators … all in creative and educational ways with the project operation and associated software explained in great detail.

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Affordable solutions with the ESP8266 and 3D printing If you are looking for a small yet powerful IoT device, you are likely to come across the ESP8266 and compatible products on the market today. One of these, the Wemos/Lolin D1 Mini Pro board strikes a remarkable balance between cost and performance. A small and very affordable prototype board, the D1 Mini Pro stands out with its WiFi functionality and a 16-Mbytes flash memory for easy creation of a flash file system. In addition, there are sufficient input and output pins (only one analog input though) to support PWM, I²C, and One-Wire systems to mention but a few. The book describes the operation, modding, construction, and programming of home appliances including a colorful smart home accessory, a refrigerator/greenhouse controller, an AC powerline monitor, a door lock monitor, and an IKEA Trådfri controller. As a benefit, all firmware developed for these DIY, "IoT-ized" devices can be updated over-the-air (OTA). For most of the designs in the book, a small printed circuit board (PCB) and an enclosure are presented so readers can have a finished and attractive-looking product. Readers having – or with access to! – a 3D printer can "print" the suggested enclosures at home or in a shop. Some of the constructions benefit from a Raspberry Pi configured as a gateway or cms server. This is also described in detail with all the necessary configuring. You don’t need to be an expert but the prerequisites to successful replication of the projects include basic skills with PC software including the ability to surf the Internet. In terms of hardware, you should be comfortable with soldering and generally assembling the PCBs presented in the book. All custom software written for the IoT devices, the PCB layouts, and 3D print files described in the book are available for free downloading.

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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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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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Le téléchargement intégral de ce numéro est disponible pour nos membres GOLD et GREEN sur le site Elektor Magazine ! Pas encore membre ? Cliquez ici. Cloc 2.0le réveil-matin de vos rêves PIO du RP2040 en pratiqueexpérimentation des E/S programmables du RP2040 Poor Man's ChipTweakerNous avons des moyens (abordables) de vous faire parler générateur de nombres réellement aléatoires avec interface USBdeux PICs pour le prix d?un AVR vitamines audio pour micro ramolloComment gonfler soi-même le niveau de sortie d'un microphone FFT avec MaixduinoAcquisition de spectres de fréquences sur le vifsans raison apparente pilote de moteurs pas à pas UCN5804drôle de composant, la série simulation de circuit avec Micro-Cappremiers pas dans un monde compliqué PAUL Award 2022les jeunes talents de la technologie et leurs solutions créatives ma première radio définie par logicielréalisée en moins de 15 minutes la documentation des microcontrôleurs sans peine (1)la structure d?une fiche technique quel avenir pour l'IA et les systèmes embarqués ?outils, plateformes et remplacement des rédacteurs numériser une ferme verticale Infographie : l?embarqué et l?IA d?aujourd?hui et demain Présentation du TinyML Casestudy KwickPOS Hautes performances pour tousNormes Computer-on-Module démarrer en électroniquecomposants actifs communication I²C avec Node.js et Raspberry Piaffichez les données de vos capteurs dans un navigateur sortie vidéo sur les microcontrôleurs (2)sortie VGA et DVI le système d'exploitation temps réel Metronomun RTOS pour processeurs AVR DVI sur le RP2040Entretien avec Luke Wren, développeur de composants chez Raspberry Pi L?afficheur HAT Miniaffichez les prévisions météo sur Raspberry Pi ! WEEF 2022 Awards : célébrez les bonnes choses Hexadoku

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Preiswerter Audio-MessplatzMit PC-Software und USB-Audio-Interface Netzspannungs-FrequenzmessgerätNetzfrequenz und -spannung überwachen Kleines InduktivitätsmessgerätEine erschwingliche Lösung für Ihr Heimlabor Reiten auf der SchallwelleEin Blick auf das Makerfabs Acoustic Levitation Kit Aller Anfang...muss nicht schwer sein: Dioden als Gleichrichter E-FFWD: Der Blick wieder nach vorn gerichtet! Erste Schritte mit dem OszilloskopFinden Sie den Weg durch den Knopf-und-Tasten-Dschungel Raspberry Pi Pico als Software Defined RadioFür das MSF-Zeitsignal Feuchtigkeitssensoren für GießanlagenAutomatische Bewässerung Umbruch in der Mess- und PrüftechnikInnovationen kleinerer Akteure Infografik 7-8/2022 Inspiration: Was wirklich wichtig istInterview mit dem Unternehmer Walter Arkesteijn von InnoFaith Beauty Sciences EMV-Störungen durch Speicherdrosseln minimieren Grafische Benutzeroberflächen mit Python:Tic-Tac-Toe Reed-RelaisBemerkenswerte Bauteile Einfaches analoges ESR-Messgerätmit Drehspulinstrument-Genauigkeit CO2-Ampel mit Sigfox-InterfaceVom WLAN unabhängig! Frauen in der Technik„Es geht nur so lange um Leistung, bis diese Leistung Titten hat.“ Low-Budget Tablet-Oszilloskop ADS1013DGutes Preis-/Leistungsverhältnis? Aufgeschraubt und reingeschaut: Wireless Smart PlugsSmarte Funksteckdosen mit ESP8266 & Co. Hautwiderstand und HautkapazitätKleine Experimente mit der menschlichen Hülle Aus dem Leben gegriffenDer Prophet gilt nichts im Vaterland Messgerät Pokit – die eierlegende Wollmilchsau?Klein und mit vielen Messmöglichkeiten HexadokuSudoku für Elektroniker

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Build Smart Applications with Raspberry Pi, Arduino, and ESP32 Discover how easy and exciting mobile app development can be with MIT App Inventor. This hands-on guide takes you from basic concepts to building real-world mobile applications using a simple visual programming approach—no prior coding experience required. You will create IoT and AI-powered apps for Android devices and explore how App Inventor can also be used with iPhones and iPads. Connect your applications to platforms such as Arduino UNO R4 WiFi, ESP32, Raspberry Pi Pico (2)W and Raspberry Pi 5, enabling you to build smart, connected systems. Inside the book, you will learn how to: Build interactive apps using buttons, images, sound, and multimedia Create text-to-speech and speech-recognition applications Develop camera-based and location-aware (GPS) apps Design useful tools such as calculators and educational apps Work with smartphone sensors like accelerometers and light sensors Build AI-powered applications, including voice assistants and image-generation features Send and receive messages, and create communication-based apps Connect mobile apps to hardware using Wi-Fi and Bluetooth Control real devices such as LEDs, motors, and sensors Designed for beginners, students, and hobbyists, this book focuses on learning by doing. By the end, you will have the skills and confidence to create your own innovative applications that interact with both the digital and physical worlds. Start building and turning your ideas into reality.

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Measuring Does Not Have to be Expensive Low-Cost Audio TesterUsing PC-Based Software and a USB Audio Interface AC Grid Frequency MeterMonitor Mains Frequency and Voltage A Modest Inductance MeterAn Affordable Solution for Your Workbench Acoustic Wave HoveringA Look at the Makerfabs Acoustic Levitation Kit Starting Out in ElectronicsRectifiers E-FFWD: Looking Ahead Again! Get Started With Your OscilloscopeFind Your Way Through the Knobs and Buttons Raspberry Pi Pico Makes an MSF-SDRDecode a Time Signal with a Pi Pico SDR Moisture Sensors for Watering SystemsAutomatic Watering Disruption in Test and Measurement EquipmentInnovation from the Smaller Players Infographics 7-8/2022 Inspiration, That’s What It’s All AboutInterview with Entrepreneur Walter Arkesteijn, InnoFaith Beauty Sciences Minimizing EMC Interference from Storage Chokes GUIs with Python (Part 5)Tic-Tac-Toe Reed RelaysPeculiar Parts, the series Simple Analog ESR Meter With Moving-Coil Meter Precision Sigfox CO2 Traffic LightNo Wi-Fi Network Needed! Women in Tech“It's All About Merit Until Merit Has Tits” Low-Budget Tablet Oscilloscope ADS1013DGood Value for Money? Smart Plug TeardownWhich Ones Are Hacker-Friendly? Skin Impedance and Skin CapacitanceSmall Experiments From Life’s ExperienceNo Local Business Pokit Meter ReviewA Swiss army knife of test gear HexadokuThe Original Elektorized Sudoku

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Raspberry Pi 5 provides two four-lane MIPI connectors, each of which can support either a camera or a display. These connectors use the same 22-way, 0.5 mm-pitch “mini” FPC format as the Compute Module Development Kit, and require adapter cables to connect to the 15-way, 1 mm-pitch “standard” format connectors on current Raspbery Pi camera and display products.These mini-to-standard adapter cables for cameras and displays (note that a camera cable should not be used with a display, and vice versa) are available in 200 mm, 300 mm and 500 mm lengths.

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Raspberry Pi goes Industry (E-book)

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