Zoekresultaten voor "raspberry OR pi OR compute OR module OR 4 OR io OR board"

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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This book is about teaching the Python programming language using the Raspberry Pi 4 computer. The book makes an introduction to Raspberry Pi 4 and then teaches Python with the topics: variables, strings, arrays, matrices, tuples, lists, dictionaries, user functions, flow of control, printing, keyboard input, graphics, GUI, object oriented programming and many more topics. The book is aimed for beginners, students, practising engineers, hobbyists, and for anyone else who may want to learn to program in Python. The book includes many example programs and case studies. All the example programs and case studies have been tested fully by the author and are all working. The example programs aim to teach the various programming concepts of Python. The case studies cover the use of Python in the analysis and design of electronic circuits. Some of the case study topics are: Resistor colour code identification Resistive potential divider circuits Resistive attenuator design Zener diode voltage regulator design RC and RLC transient circuits Circuit frequency response Saving data on external memory stick Mesh and node circuit analysis using matrices Resonance in RLC circuits Transistor Biasing analysis Transistor amplifier design Design of active filters Interfacing hardware with GPIO, I²C and SPI Using Wi-Fi with Python and TCP/IP and UDP programs Using Bluetooth from Python Full program listings of all the programs used in the book are available at the Elektor website of the book. Readers should be able just to copy and use these programs in their Raspberry Pi projects without any modifications.

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De FNIRDSI DSO-TC4 is een multifunctionele transistor-oscilloscoop die zowel uitgebreid als praktisch is. Het is ontworpen voor gebruik in onderhouds- en R&D-toepassingen, waarbij een oscilloscoop, transistortester en signaalgenerator in één apparaat worden geïntegreerd. Kenmerken Uitgerust met een 2,8-inch TFT-kleurenscherm voor een helder en intuïtief display Ingebouwde oplaadbare lithiumbatterij met hoge capaciteit (1500 mAh) met een stand-bytijd van maximaal 4 uur Compact en lichtgewicht, ideaal voor mobiel gebruik Specificaties Oscilloscoop Analoge bandbreedte 10 MHz Real-time bemonsteringsfrequentie 48 MSa/s Ingangsimpedantie 1 MΩ Koppelingsmodus AC/DC Testspanningsbereik 1:1-sonde: 80 Vpp (+40 V) 10:1 Sonde: 800 Vpp (+400 V) Verticale gevoeligheid 10 mV/div~10 V/div (X1-bereik) Verticale verplaatsing Instelbaar met indicatie Tijdbasisbereik 50ns~20s Triggermodus Auto/Normal/Single Triggertype Rising edge, Falling edge Triggerniveau Instelbaar met indicatie Waveform Freeze Ja (HOLD-functie) Automatische meting Max, Min, Avg, RMS, Vpp, Frequency, Cycle, Duty Cycle Transistortester Transistor Versterkingsfactor "hfe"; Basis-emitterspanning "Ube", Ic/Ie, collector-emitter omgekeerde lekstroom "Iceo", Ices, voorwaartse spanningsval van beschermingsdiode "Uf" Diode Voorwaartse spanningsval <5 V (voorwaartse spanningsval, junctiecapaciteit, omgekeerde lekstroom) Zenerdiode 0,01~32 V Omgekeerde doorslagspanning (K-A-A-testgebied) Veldeffecttransistor (FET) JFET: Gatecapaciteit "Cg", Drainstroom Id onder "Vgs", voorwaartse spanningsval van beschermingsdiode "Uf" IGBT: Drainstroom Id onder Vgs, Voorwaartse spanningsval van beschermingsdiode Uf MIOSTET: Drempelspanning "Vt", Gatecapaciteit "Cg", Drain-Sourceweerstand "Rds", Voorwaartse spanningsval van beschermingsdiode "Uf" Unidirectionele SCR Triggerspanning <5V, Gateniveau (Gatespanning) Bidirectionele SCR Triggerstroom <6mA (Gatespanning) Condensator 25pF~100mF, Capaciteitswaarde, Verliesfactor "Vloss" Weerstand 0,01Ω~50MΩ Inductor 10μH~1000μH, DC-weerstand DS18B20 Temperatuursensor, pinnen: GND, DQ, VDD DHT11 Temperatuur- en vochtigheidssensor, pinnen: VDD, DATA, GND Signaalgenerator Uitgangsgolfvorm Ondersteunt 13 golfvormuitgangen Golfvormfrequentie 0-50 KHz Vierkante golf-inschakelduur 0-100% Golfvormamplitude 0,1-3,0 V Algemeen 2,8-inch TFT-kleurenscherm Achtergrondverlichting Helderheid instelbaar Voeding USB-C (5 V/1 A） Batterij 3,7 V/1500 mAh Talen Engels, Duits, Spaans, Portugees, Russisch, Chinees, Japans, Koreaans Afmetingen 90 x 142 x 27,5 mm Gewicht 186 g Inbegrepen 1x FNIRSI DSO-TC4 (3-in-1) Oscilloscoop (10 MHz) 1x P6100-oscilloscoopsonde (10X) 1x Krokodillenklemsonde 3x Testhaken 1x Adapter 1x USB-C-oplaadkabel 1x Manual Downloads Manual Firmware V0.0.7 (+V1.0.9)

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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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Le chargeur intégré est disponible pour nos clients OR et VERT sur le site d'Elektor Magazine ! Pas encore membre ? Cliquez ici . Horloge 2.0 le réveil-matin de vos rêves PIO du RP2040 en pratique expérimentation des programmables E/S du RP2040 ChipTweaker du pauvre homme Nous avons des moyens (abordables) de vous faire parler générateur d'équipement externe avec interface USB deux PICs pour le prix d'un AVR vitamines audio pour micro ramollo Comment gonfler soi-même le levé de sortie d'un microphone FFT avec Maixduino Acquisition des spectres de fréquences sur le vif sans raison apparente pilote de moteurs pas à pas UCN5804 drôle de composant, la série simulation du circuit avec Micro-Cap Les premiers ministres transmettent un problème mondial Prix ​​PAUL 2022 les jeunes talents de la technologie et des solutions créatives Mon première radio définie par logiciel réalisé, dans les 15 minutes la documentation des microcontrôleurs sans peine (1) la structure d'une fiche technique et pour l'IA et les systèmes d'embarquement ? outils, plaques et remplacement des éditeurs numériser une ferme verticale Infographie : embarqué et l'ia d'aujourd'hui et demain Présentation du TinyML Étude de cas KwickPOS Hautes performances pour tous Normes Ordinateur sur module démarrer en électronique Actifs des composants communication I²C avec Node.js et Raspberry Pi affiche des données de vos capteurs dans un navigateur sortie vidéo sur les microcontrôleurs (2) sorties VGA et DVI le système d'exploitation temps réel Metronom un RTOS pour les processeurs AVR DVI sur le RP2040 Entrées de Luke Wren, développeur compositeur avec Raspberry Pi L?afficher HAT Mini Aperçus d'affiches avec Raspberry Pi ! WEEF Awards 2022 : célébrez les bonnes choses Hexadoku

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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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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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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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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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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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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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Build your textbook weather station or conduct environmental research together with the whole world. With many practical projects for Arduino, Raspberry Pi, NodeMCU, ESP32, and other development boards. Weather stations have enjoyed great popularity for decades. Every current and even every long discontinued electronics magazine has regularly featured articles on building your own weather station. Over the years, they have become increasingly sophisticated and can now be fully integrated into an automated home — although this often requires loyalty to an (expensive) brand manufacturer across all components. With your own weather and environmental data, you can keep up and measure things that no commercial station can. It’s also fun: expand your knowledge of electronics, current microcontroller development boards and programming languages in a fun and meaningful way. For less than 10 euros you can get started and record your first environmental data — with time and growing interest, you will continue to expand your system. In this Edition Which Microcontroller Fits My Project? The Right Development Environment Tracking Wind and Weather Weather Display with OpenWeatherMap and Vacuum Fluorescent Display Volatile Organic Compounds in the Air We Breathe Working with MQ Sensors: Measuring Carbon Monoxide — Odorless but Toxic CO2 Traffic Light with ThingSpeak IoT Connection An Automatic Plant Watering System Good Indoor Climate: Temperature and Humidity are Important criteria Classy Thermometer with Vintage Tube Technology Nostalgic Weather House for the Whole Family Measuring Air Pressure and Temperature Accurately Sunburn Warning Device DIY Sensor for Sunshine Duration Simple Smartphone Says: Fog or Clear View? Identifying Earthquakes Liquid Level Measurement for Vessels and Reservoirs Water pH Value Measurement Detecting Radioactive Radiation GPS: Sensor Location Service Across the Globe Saving and Timestamping Log Files on SD Cards LoRaWAN, The Things Network, and ThingSpeak Operating a LoRaWAN Gateway for TTN Defying "Wind and Weather" Mega Display with Weather Forecasz

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