Résultats de la recherche pour "explore or attiny or microcontrollers or using or c or and or assembly or language"

Develop your own custom home automation devices Espressif's ESP8266 and ESP32 microcontrollers have brought DIY home automation to the masses. However, not everyone is fluent in programming these microcontrollers with Espressif's C/C++ SDK, the Arduino core, or MicroPython. This is where ESPHome comes into its own: with this project, you don’t program your microcontroller but configure it. This book demonstrates how to create your own home automation devices with ESPHome on an ESP32 microcontroller board. You’ll learn how to combine all kinds of electronic components and automate complex behaviours. Your devices can work completely autonomously, and connect over Wi-Fi to your home automation gateways such as Home Assistant or MQTT broker. By the end of this book, you will be able to create your own custom home automation devices the way you want. Thanks to ESPHome and the ESP32, this is within everyone’s grasp. Set up an ESPHome development environment and create maintainable configurations Use buttons and LEDs Sound a buzzer and play melodies Read measurements from various types of sensors Communicate over a short distance with NFC, infrared light, and Bluetooth Low Energy Show information on various types of displays Downloads Software

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Contents Projects PicoVoiceVoice alienation and sound effects with the Raspberry Pi Pico Navigation with Vibration Feedback POV Display Pulse Width Modulation (PWM) with the Raspberry Pi Pico Wi-Fi with the Raspberry Pi Pico 'Hello World' from the Raspberry Pi Pico and RP2040A look at the Raspberry Pi Foundation’s first microcontroller Simple On-Off Temperature Controller with Raspberry Pi HAT Multitasking with the Raspberry PiShowcase: a traffic lights controller The Raspberry Pi Ruler GadgetFun with a time-of-flight sensor Raspberry Pi Buffer Board (Mk. 1)Never blow up the I/O again FM radio with RDSA top HAT project for the Raspberry Pi LoRa with the Raspberry Pi PicoFun with MicroPython! Tutorials Qt for the Raspberry Pi Raspberry Pi Pico Programmingwith MicroPython and Thonny Raspberry Pi Full StackRPi and RF24 at the heart of a sensor network Raspberry Pi Bash Command Cheat Sheet Community Java on the Raspberry PiAn interview with Frank Delporte Reviews Introducing the New Raspberry Pi Pico W, H, and WH Secure Boot Solution for Raspberry PiRetrofit security at a reasonable price Review: SmartPi – Smart Meter Extension for Raspberry Pi Review: The Enviro+ Raspberry Pi HATMeasuring environmental data with Raspberry Pi and the HAT Enviro+ Review: Meet the Raspberry Pi 4All new but still good? Raspberry Pi Gets a Fast 3.5' Touch DisplayMore power at no extra charge Book Launch: Raspberry Pi for Radio Amateurs

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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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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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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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USB to S/PDIF InterfaceDigital audio output for computer, laptop, tablet or smartphone Practical ESP32 Multitasking (4)Binary semaphores A Wireless Temperature Sensor for the Nixie Bargraph ThermometerA multipurpose solution with a design trick Multitasking with Raspberry PiShowcase: a traffic lights controller Timer for Headphone Amplifier Open-Network Weather Station Mk.2Part 2: Software Home Automation Made EasyWith ESPHome, Home Assistant & MySensors The Storage CRTPeculiar Parts, the series Artificial Intelligence for Beginners (3)A stand-alone neural network Programming PICs from the Ground UpAssembler routine to output a sine wave IKEA Lamp HackEquipping an inexpensive IKEA lamp with NeoPixel LEDs and WLAN Don't Let Your Hobby Project Collect Dust in a CornerSupply-side time management and spiral development Starting Out in Electronics (4)Easier than imagined! Homelab Tours: The Vinyl CutterReturning to the golden age of LPs The 8-Bit Microcontroller and BeyondInterview with Tam Hanna Small Circuits RevivalFrom the Elektor suggestions box Review: Owon OW18E Bluetooth Multimeter InteractiveCorrections & Updates || Questions & Answers Steeped in ElectronicsLead-free soldering and EU regulatory zeal Promising Project: New 50 Hz – 2 MHz LCR meterAccuracy and ease of use Error AnalysisTips on FMEA, High Current, and More Developer's ZoneTips & Tricks, Best Practices and Other Useful Information Review: Siglent SDL1020X Programmable DC Electronic Load High-Voltage Power Supply with Curve TracerGenerate voltages up to 400 V and trace characteristics curves for valves and transistors Hexadoku 2009EL Analogue Electronics DesignCase Study #2 — Part 1: Analogue filter theory The Elektor StoreNever expensive, always surprising How to Draw a Circuit Diagram

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The Basics, New Ideas & Applications Build digital electronics from the ground up—and take it all the way to practical circuits you can use. This book guides you through the core principles of digital technology with a strongly hands-on approach. You’ll begin with the essentials: signals, devices for working with them, and what "logic 0" and "logic 1" mean in real hardware. Simple demonstration setups made from easy-to-find parts (LEDs, diodes, resistors, switches) help you see how logic behaves, making the theory click before you move on. From there, you’ll explore a wide range of logic elements and how they’re implemented, including classic logic families such as TTL and CMOS. The fundamentals section covers the building blocks of digital systems: flip-flops, Schmitt triggers, registers, counters and dividers, encoders/ decoders, multiplexers/demultiplexers, plus A/D and D/A conversion and timing circuits. Next, the book invites you into "new ideas" in digital electronics—universal logic elements, unconventional approaches (including thyristor-based and fractional logic), and creative logic functions that can inspire original designs. Finally, a large, well-organized collection of application circuits turns knowledge into projects: electronic switches and selectors, pulse generators, PWM regulators, frequency multipliers/dividers, phase shifters, and digital filters. Study it deeply, and you’ll gain not only understanding—but the ability to design and debug digital circuits independently.

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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! Rauscharmes Labor-Netzteil (Teil 1)Eine stille Quelle für empfindliche Schaltungen STM32 Edge AI Contest 2025: Die Gewinner Batterien 2025Technik und Unterschiede bei Lithium-Batterien Einstellbare elektronische LastGleichstromlast statisch und dynamisch Abwärtswandler von 48 V auf 5 VGeschichte einer Schaltungsentwicklung Autonomer Sensorknoten v2.0Teil 2: Hardware-Validierung und Leistungsoptimierungen VaristorenBemerkenswerte Bauteile – die Serie Grafische NetzfrequenzlupeDie Netzqualität überwachen Aller Anfang ...... führt zu einem Ende Multilayer Power Suppression BeadsBreitbandige Entstörung bei hoher Spitzenstrombelastbarkeit Elektor Live! Expert Day 2025 Energy Harvesting zur Beschleunigung von IoT- und IIoT-AnwendungenSo entkoppelt Energy Harvesting das IoT vom Stromnetz Fnirsi DPS-150Kompakte und tragbare Stromversorgung und Wandler Einstellbare USB-C-StromquelleMachen Sie aus Ihrem USB-C-Ladegerät ein einstellbares Netzteil Einfacher Lade- und KapazitätstesterMit zwei günstigen „Off-the-Shelf“-Modulen Sprechender FarbdetektorMit MP3-Player-Modul und KI-generierter Stimme PbMonitor v2.0Einführung in das aktualisierte Batterie-Überwachungssystem Ein Lüfter für die Mini-Reflow-PlatteNichts ist so gut, dass man es nicht verbessern könnte Aus dem Leben gegriffenDie Flut der Versuchungen Projekt 2.0Korrekturen, Updates und Leserbriefe 2026: Eine KI-OdysseeWenn Modelle die Hardware bestimmen Präzisions-Picoamperemeter (Teil 2)Zusammenbau, Kalibrierung und Test Stromversorgung ohne Kabelmit Induktionstechnik KI-gestütztes autonomes FahrenDie RDW Self Driving Challenge 2024 Soundkarte als SignalgeneratorPC als DCF77-Testsender

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A Practical Guide to AI, Python, and Hardware Projects Welcome to your BeagleY-AI journey! This compact, powerful, and affordable single-board computer is perfect for developers and hobbyists. With its dedicated 4 TOPS AI co-processor and a 1.4 GHz Quad-core Cortex-A53 CPU, the BeagleY-AI is equipped to handle both AI applications and real-time I/O tasks. Powered by the Texas Instruments AM67A processor, it offers DSPs, a 3D graphics unit, and video accelerators. Inside this handbook, you‘ll find over 50 hands-on projects that cover a wide range of topics—from basic circuits with LEDs and sensors to an AI-driven project. Each project is written in Python 3 and includes detailed explanations and full program listings to guide you. Whether you‘re a beginner or more advanced, you can follow these projects as they are or modify them to fit your own creative ideas. Here’s a glimpse of some exciting projects included in this handbook: Morse Code Exerciser with LED or BuzzerType a message and watch it come to life as an LED or buzzer translates your text into Morse code. Ultrasonic Distance MeasurementUse an ultrasonic sensor to measure distances and display the result in real time. Environmental Data Display & VisualizationCollect temperature, pressure, and humidity readings from the BME280 sensor, and display or plot them on a graphical interface. SPI – Voltmeter with ADCLearn how to measure voltage using an external ADC and display the results on your BeagleY-AI. GPS Coordinates DisplayTrack your location with a GPS module and view geographic coordinates on your screen. BeagleY-AI and Raspberry Pi 4 CommunicationDiscover how to make your BeagleY-AI and Raspberry Pi communicate over a serial link and exchange data. AI-Driven Object Detection with TensorFlow LiteSet up and run an object detection model using TensorFlow Lite on the BeagleY-AI platform, with complete hardware and software details provided.

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A Fast-Lane Ride From Concept to Project The core of the book explains the use of the Raspberry Pi Zero 2 W running the Python programming language, always in simple terms and backed by many tested and working example projects. On part of the reader, familiarity with the Python programming language and some experience with one of the Raspberry Pi computers will prove helpful. Although previous electronics experience is not required, some knowledge of basic electronics is beneficial, especially when venturing out to modify the projects for your own applications. Over 30 tested and working hardware-based projects are given in the book, covering the use of Wi-Fi, communication with smartphones and with a Raspberry Pi Pico W computer. Additionally, there are Bluetooth projects including elementary communication with smartphones and with the popular Arduino Uno. Both Wi-Fi and Bluetooth are key features of the Raspberry Pi Zero 2 W. Some of the topics covered in the book are: Raspberry Pi OS installation on an SD card Python program creation and execution on the Raspberry Pi Zero 2 W Software-only examples of Python running on the Raspberry Pi Zero 2 W Hardware-based projects including LCD and Sense HAT interfacing UDP and TCP Wi-Fi based projects for smartphone communication UDP-based project for Raspberry Pi Pico W communication Flask-based webserver project Cloud storage of captured temperature, humidity, and pressure data TFT projects Node-RED projects Interfacing to Alexa MQTT projects Bluetooth-based projects for smartphone and Arduino Uno communications

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Eine Einführung in die Schaltungssimulation LTspice wurde von Mike Engelhardt entwickelt und gehört inzwischen zu Analog Devices. Es handelt sich dabei um ein Programm zur Schaltplanerstellung – einen leistungsstarken, schnellen und kostenlosen SPICE-Simulator sowie um ein Werkzeug zur Darstellung von Kurvenverläufen. Es bietet eine umfangreiche Bauteildatenbank, die weltweit durch SPICE-Modelle unterstützt wird. Mit LTspice kann man schnell und einfach Schaltpläne erstellen. Dank der leistungsfähigen grafischen Ausgabefunktionen lassen sich Spannungen und Ströme in einer Schaltung, die Leistungsaufnahme der Bauteile und viele weitere Parameter darstellen. Ziel dieses Buches ist es, den Entwurf und die Simulation elektronischer Schaltungen mit LTspice zu vermitteln. Es behandelt unter anderem folgende Themen: DC und AC-Schaltungen Kleinsignal- und Z-Dioden Transistorschaltungen inkl. Oszillatoren Tryristor-, Diac- und Triacschaltungen Operationsverstärkerschaltungen inkl. Oszillatoren Der 555 Timer-IC Filter Spannungsregler Optokoppler Erstellung von Spannungskurven Simulation von Logikschaltungen mit der 74HC-Familie SPICE-Modellierung LTspice ist ein äußerst vielseitiges Werkzeug zur Simulation elektronischer Schaltungen mit zahlreichen Funktionen und Anwendungsmöglichkeiten. Eine vollständige Behandlung aller Details würde jedoch den Rahmen dieses Buches sprengen. Daher konzentriert sich das Buch auf die gängigsten Themen wie DC- und AC-Analyse, Parametersweep, Übertragungsfunktionen, Oszillatoren, Diagramme und weitere grundlegende Anwendungen. Obwohl es sich um eine Einführung handelt, deckt dieses Buch dennoch die meisten Interessensgebiete all jener ab, die sich mit der Simulation elektronischer Schaltungen beschäftigen.

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