Search results for "night or vision or camera or module or for or raspberry or pi or 160"

IMAGE PROCESSING WITH THE NVIDIA JETSON NANO (PART 2)Image Recognition Using Edge Impulse ELEKTOR JUMPSTARTER NEWSUpcoming Campaigns AN OPEN-SOURCE GPS TRACKING PLATFORMTraccar Maps Vehicle Tracking Without the Need for a Third-Party Cloud Server JOY-IT LCR-T7 MULTI-FUNCTION TESTERTesting Passives, Discrete Semiconductors and IR Remote Controls NOISE SYNTHESIZERFrom Noise to Music with the PRBSynth1 STARTING OUT IN ELECTRONICSEasier than Imagined! ... Continuing with the Coil UNDERSTANDING THE NEURONS IN NEURAL NETWORKS (PART 2)Logical Neurons ISSUES WITH SECURITY? FIGHT FIRE WITH FIRE!Flashbulb-Protected Analogue Memory Add-on For the Tamper-Evident Box LCR METER POSTER BLUETOOTH BEACONS IN PRACTICEBeacons Light the Way Ahead C PROGRAMMING ON RASPBERRY PICommunicating over Wi-Fi (Sample Chapter) EMC PRE-COMPLIANCE TEST FOR YOUR DC-POWERED PROJECT (PART 2)The Hardware and How to Use It HANDS ON THE PARALLAX PROPELLER 2 (PART 5)Inside the Smart Pin MODBUS OVER WLAN (PART 1)Hardware and Programming HOMELAB TOURSWhere the Junior Computer Is Brought to Life Again BUILD YOUR OWN HIGH-PRECISION CALIBRATOR-10 V to +10 V, 0 to 40 mA, 0.001% ARDUINO NANO RP2040 CONNECTRaspberry Pi RP2040 + Wi-Fi + Bluetooth THE PHYSICAL BODY OF ARTIFICIAL INTELLIGENCE ERR-LECTRONICSCorrections, Updates and Readers’ Letters CREATE GUIS WITH PYTHONIntroducing guizero CO2 METER KIT FOR THE CLASSROOMAn ESP8266-Based Device from the University of Applied Sciences Aachen NOSTALGIC MK484 MW/LW RADIO...Always Fun to Build! ELEKTOR @ 60Let There Be Light! HEXADOKUThe Original Elektorized Sudoku

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AI Projects for the Raspberry Pi with the AI HAT+ Edge AI is transforming everyday devices by putting intelligence where it matters most: directly inside the hardware. With on-device inference, a camera can recognize a visitor instantly, a phone can translate speech without streaming audio to the cloud, and a wearable can detect anomalies in real time—fast, private, and reliable even when the network disappears. This book is your practical guide to building exactly those kinds of systems with the Raspberry Pi AI HAT+ and the Hailo-8L accelerator. You’ll start with clear foundations: core AI and machine-learning concepts, how neural networks work, and what truly distinguishes Edge AI from cloud AI—plus an honest look at ethical considerations and future impacts. Then it’s straight to hands-on physical computing. Step by step, you’ll set up Raspberry Pi OS, power and cooling, and develop in Python using the Thonny IDE. You’ll learn GPIO basics with lights and servos, mount the AI HAT+ hardware, install and verify the Hailo software stack, and connect the right camera—official modules or USB webcams, even multiple cameras. From your first pipeline to real projects, you’ll run person detection, pose estimation, segmentation, and depth estimation, then level up with YOLO object detection: smart alerts, guest counters, and custom extensions. You’ll even connect vision to motion by combining gesture recognition with servo-driven mechanisms, including a robotic arm. With troubleshooting tips, hardware essentials, and a practical Python refresher, this book turns Edge AI from buzzword into buildable reality.

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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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TurtleBot 4 is the next-generation of the world’s most popular open source robotics platform for education and research, offering better computing power, better sensors and a world class user experience at an affordable price point.TurtleBot 4 Lite is equipped with an iRobot Create 3 mobile base, a powerful Raspberry Pi 4 running ROS 2, OAK-D spatial AI stereo camera, 2D LiDAR and more. All components have been seamlessly integrated to deliver an out-of-the-box development and learning platform.Specifications Base platform iRobot Create 3 Wheels (Diameter) 72 mm Ground Clearance 4.5 mm On-board Computer Raspberry Pi 4 (4 GB) Maximum linear velocity 0.31 m/s in safe mode0.46 m/s without safe mode Maximum angular velocity 1.90 rad/s Maximum payload 9 kg Operation time 2h 30m – 4h depending on load Charging time 2h 30m Lidar RPLIDAR A1M8 Camera OAK-D-Lite User Power VBAT @1.9 A5 V @ Low current3.3 V @ Low current USB Expansion 2x USB 2.0 (Type A)2x USB 3.0 (Type A) Programmable LEDs Create 3 Lightring Buttons and Switches 2x Create 3 User buttons1x Create 3 Power Button Battery 26 Wh Lithium Ion (14.4 V nominal) Charging Dock Included Size (L x W x H) 342 x 339 x 192 mm Weight 3.3 kg DownloadsUser Manual

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VOYAGE DANS LES RÉSEAUX NEURONAUX (1ÈRE PARTIE)Les neurones artificiels TEST DE PRÉCONFORMITÉ CEM POUR UN PROJET ALIMENTÉ EN COURANT CONTINUPartie 1 : RSIL double continu CHARGE ÉLECTRONIQUE EN CC ET CAJusqu?à 400 V et 10 A (crête) DÉMARRER EN ÉLECTRONIQUE (9)N'ayez pas peur du choc... un peu de « self control » suffit ! TRAITEMENT D'IMAGES AVEC LE MODULE JETSON NANO DE NVIDIA (1ÈRE PARTIE)Matériel et logiciel ZOOM SUR LES TRANSFORMATEURS SECTEURComportement transitoire à l?allumage et l?extinction « YES WE CAN » AVEC PICAN 3Module de bus CAN pour le Raspberry Pi 4 CENTRALE SOLAIRE SUR BALCONUn investissement vite amorti PRISE DE VUE ET DIFFUSION VIDÉO EN CONTINU AVEC UN RASPBERRY PI 4La caméra Raspberry Pi HQ en action UTILISATION D?ÉCRANS DANS LES PROJETS RASPBERRY PIExtrait : écrans à diodes électroluminescentes organiques (OLED) PROPELLER 2 DE PARALLAX (4)Envoi de chaînes de caractères 60 ANS D?ELEKTORRegard sur septembre DANS L?ANTRE DE?Menno van der Veen et de ses tubes amplificateurs CIRCUITS HYBRIDES ROSE DES VENTS AVEC LE CAPTEUR GY-271Ou pourquoi il faut faire des huit pour calibrer un capteur MESUREZ VOTRE EMPREINTEÉlectronique et émissions de gaz à effet de serre THERMOSTAT CONNECTÉ À ESP32Conservez votre vin à la bonne température ! LÉVITATION MAGNÉTIQUE, VERSION NUMÉRIQUEComparateur analogique remplacé par un ESP32 Pico ULTIMATE ARDUINO UNO HARDWARE MANUAL - FR TRANSLATIONExtrait : chargeur d?amorçage du microcontrôleur principal MICROPYTHON POUR L'ESP32 ET SES COPAINSPartie 2 : piloter facilement les écrans matriciels CARTE MADMACHINE SWIFTIOUn langage récent pour du matériel tout nouveau SUR LE VIFPassions incertaines HEXADOKUCasse-tête pour elektorniciens

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UNDERSTANDING THE NEURONS IN NEURAL NETWORKS (PART 1)Artificial Neurons EMC PRE-COMPLIANCE TEST FOR YOUR DC-POWERED PROJECT (PART 1)Dual DC LISN ELECTRONIC LOAD FOR DC AND ACUp to 400 V and 10 A (Peak) STARTING OUT IN ELECTRONICSEasier Than Imagined! ...Taking on the Choke! IMAGE PROCESSING WITH THE NVIDIA JETSON NANO (PART 1)The Hardware and Software AN IN-DEPTH LOOK AT MAINS TRANSFORMERSHow Do They Behave When They Are Switched On and Off? YES WE CAN WITH PICAN 3A CAN Bus HAT for the Raspberry Pi 4 BALCONY POWER PLANTDIY Solar Balcony = Speedy Payback! IMAGING AND VIDEO-STREAMING WITH A RASPBERRY PI 4The Raspberry Pi High-Quality Camera in Practice USING DISPLAYS IN RASPBERRY PI PROJECTSSample Chapter: Organic Light Emitting Diode Displays (OLED) HANDS ON THE PARALLAX PROPELLER 2 (PART 4)Sending Strings ELEKTOR @ 60A Look Back at Previous Septembers HOMELAB TOURSIn the Friesian Countryside, Where the Tubes Bloom ... HYBRIDSPeculiar Parts, the series A COMPASS ROSE USING THE GY-271Or Why We Move in Figures of Eight to Calibrate a Sensor FINDING YOUR FOOTPRINTCalculate the Carbon Footprint of Your Electronics ESP32-CONNECTED THERMOSTATKeep Your Wine at the Right Temperature! MAGNETIC LEVITATION THE DIGITAL WAYESP32 Pico Replaces the Analog Comparator ULTIMATE ARDUINO UNO HARDWARE MANUALSample Chapter: Main Microcontroller Bootloader MICROPYTHON FOR THE ESP32 AND FRIENDS (PART 2)Control Matrix Displays Easily MADMACHINE SWIFTIO BOARDModern Language Meets Modern Hardware FROM LIFE’S EXPERIENCEOn-Again, Off-Again Relationship HEXADOKUThe Original Elektorized Sudoku

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For Raspberry Pi, ESP32 and nRF52 with Python, Arduino and Zephyr Bluetooth Low Energy (BLE) radio chips are ubiquitous from Raspberry Pi to light bulbs. BLE is an elaborate technology with a comprehensive specification, but the basics are quite accessible. A progressive and systematic approach will lead you far in mastering this wireless communication technique, which is essential for working in low power scenarios. In this book, you’ll learn how to: Discover BLE devices in the neighborhood by listening to their advertisements. Create your own BLE devices advertising data. Connect to BLE devices such as heart rate monitors and proximity reporters. Create secure connections to BLE devices with encryption and authentication. Understand BLE service and profile specifications and implement them. Reverse engineer a BLE device with a proprietary implementation and control it with your own software. Make your BLE devices use as little power as possible. This book shows you the ropes of BLE programming with Python and the Bleak library on a Raspberry Pi or PC, with C++ and NimBLE-Arduino on Espressif’s ESP32 development boards, and with C on one of the development boards supported by the Zephyr real-time operating system, such as Nordic Semiconductor's nRF52 boards. Starting with a very little amount of theory, you’ll develop code right from the beginning. After you’ve completed this book, you’ll know enough to create your own BLE applications.

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Projekte mit Arduino, ESPHome, Home Assistant und Raspberry Pi & Co Dieses E-Book enthält verschiedene Projektbeispiele und beginnt mit einer Einführung in die Elektronik. Es erklärt unter anderem, wie man Home Assistant auf einem Raspberry Pi installiert, wie man Raumklimasensoren für Temperatur und Luftfeuchtigkeit nutzt, das MQTT-Protokoll sowie weitere Schnittstellen einsetzt und ESPHome verwendet, um Sensoren und Aktoren in Home Assistant zu integrieren. Zahlreiche Video-Tutorials ergänzen das Buch. Grundlagen der Elektrotechnik Das Buch beginnt mit einer Einführung in die Elektrotechnik. Ihr lernt die Grundlagen von Spannung, Strom, Widerständen, Dioden und Transistoren. Arduino und Mikrocontroller Ein kompletter Abschnitt widmet sich dem Arduino Uno. Ihr lernt den Aufbau kennen, schreibt erste Programme und erarbeitet praktische Beispiele. Home Assistant und Automatisierung Ihr erfahrt, wie Home Assistant auf einem Raspberry Pi eingerichtet wird, und lernt den Umgang mit Automatisierungen, Szenen und Geräten. Zusätzlich wird auf Zigbee, MQTT und ESP-NOW eingegangen – wichtige Technologien für die Heimautomation. ESP8266, ESP32 und ESP32-CAM Die beliebten ESP-Mikrocontroller werden ausführlich behandelt. Nach einer theoretischen Einführung folgen praktische Projekte, die euch zeigen, wie ihr das Beste aus diesen Geräten herausholen könnt. Sensoren und Aktoren Das Buch erklärt die Funktionsweise und Anwendung zahlreicher Sensoren wie Temperatur- und Luftfeuchtigkeitssensoren, Bewegungsmelder und RFID-Reader. Bei den Aktoren werden Schrittmotoren, e-ink Displays, Servo-Motoren und vieles mehr beleuchtet. Zu allen Geräten gibt es praxisnahe Anwendungsbeispiele. ESPHome Dieses Kapitel zeigt euch, wie ihr Sensoren und Aktoren ohne Programmieraufwand in Home Assistant integriert. Ihr werdet Schritt für Schritt durch die Einrichtung mit ESPHome geführt. LEDs und Lichttechnik In diesem Kapitel lernt ihr verschiedene LED-Typen und deren Einsatzmöglichkeiten kennen. Grundlagen der Lichttechnik werden ebenfalls erklärt. Node-RED Ein eigenes Kapitel ist Node-RED gewidmet. Ihr erlernt die Grundlagen dieses leistungsstarken Tools und werdet Schritt für Schritt durch die Einrichtung und Nutzung geführt. Integrierte Schaltkreise (ICs) In der Elektronik gibt es zahlreiche ICs, die uns das Leben erleichtern. Ihr lernt die wichtigsten kennen und wendet das Wissen in praktischen Projekten an. Programmieren für Profis Fortgeschrittene Themen wie die korrekte Verwendung von Tastern, der Einsatz von Interrupts und die Nutzung eines NTP-Servers für Zeit-Synchronisation werden in diesem Kapitel detailliert behandelt. Downloads GitHub

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. OBD2 Sensor DashboardOld Dials Sparked a Quest for Real Data OBD2: Add a Rev Counter and Gear Shift Indicator to Your CarRetro, but Super Useful LiDAR and Vision Sensors for Robotics Sensor+Test 2025 and PCIM 2025 Contact-Free E-Field Measurements (1)A Vibrating Membrane for Assessing DC Voltages or Static Electric Fields Wireless Mailbox NotifierFrom Optical Sensors to Radar, Exploring a Few Options Elektor Mini-WheelieA Self-Balancing Robot Solar CellsPeculiar Parts, the Series Getting Started With a Modern Radar SensorIs an Accurate Measurement on Your Radar? From Life’s ExperiencePaper Factory CybersecurityTough Times for Hackers Siglent Presents Next-Gen Multi-Channel OscilloscopesHigh-Performance Solutions for Modern Power and Embedded Systems Bluetooth 6.0 Brings Enhanced Distance-Ranging ApplicationsNew Version Offers Improved Device Positioning and Location Services Exploring Wireless Communication with BeagleY-AI Err-lectronicsCorrections, Updates, and Readers’ Letters Starting Out in Electronics……Concludes the Topic on Opamps A Powerful AI Code AssistantSpeed Up Your Development with Continue and Visual Studio Code Solar Charge Controller with MPPT (2)The Circuit Ultrasonic Obstacle DetectorA Simple Project to Help Those with Impaired Vision 2025: An AI OdysseyMid-Year Review Raspberry Pi Standalone MIDI Synthesizer (3)Making It Smarter and Adding a User Interface Meshtastic: A Demo ProjectAn Intelligent Mesh of LoRa Radios Analog Audio Frequency GeneratorHigh-Quality Adjustable Frequency Sine Wave Generator

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This book is about the Raspberry Pi 3 computer and its use in various control and monitoring applications. The book explains in simple terms and with tested and working example projects, how to configure the Raspberry Pi 3 computer, how to install and use the Linux operating system, and how to write hardware based applications programs using the Python programming language. The nice feature of this book is that it covers many Raspberry Pi 3 based hardware projects using the latest hardware modules such as the Sense HAT, Swiss Pi, MotoPi, Camera module, and many other state of the art analog and digital sensors. An important feature of the Raspberry Pi 3 is that it contains on-board Bluetooth and Wi-Fi modules. Example projects are given in the book on using the Wi-Fi and the Bluetooth modules to show how real-data can be sent to the Cloud using the Wi-Fi module, and also how to communicate with an Android based mobile phone using the Bluetooth module. The book is ideal for self-study, and is intended for electronic/electrical engineering students, practising engineers, research students, and for hobbyists. It is recommended that the book should be followed in the given Chapter order. Over 30 projects are given in the book. All the projects in the book are based on the Python programming language and they have been fully tested. Full program listings of every project are given in the book with comments and full descriptions. Experienced programmers should find it easy to modify and update the programs to suit their needs. The following sub-headings are given for each project to make it as easy as possible for the readers to follow the projects: Project title Description Aim of the project Raspberry Pi type Block diagram Circuit diagram Program listing

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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. l'ESP-BLASTUn mini drone-fusée ESP32 qui vole à plus de 100 km/h atelier sans fil (1)Modules radio déverrouillés : émetteur-récepteur sub-GHz CC1101 433 MHz émetteur AMAvec le générateur d'ondes carrées/sinusoïdales sur Raspberry Pi Pico STM32Cube Innovation ChallengeParticipez avec votre meilleur projet STM32C5 CoffeeCallerComment une pause café a inspiré un PCB sur mesure audiotroniquesDistorsion harmonique totale Elektor à 65 ansProjets de septembre et octobre au fil des ans Bluetooth Channel Sounding pour le suivi des équipementsMesure de distance avec une précision centimétrique pour l’IoT de nouvelle génération 2026 : une Odyssée de l'IAL'informatique quantique n'est pas le prochain GPU protéger le cloud exige de sécuriser la périphérie premières expériences avec le HackRF ProTests pratiques avec le nouveau matériel SDR mise à niveau du modem de GPRS/2G vers LTE/4GExemple d'un panneau de contrôle d'alarme sans fil antenne en bouclePartie 1 : Une antenne ondes courtes à directivité réglable, à réaliser soi-même convertisseur de radio Internet en AMUn ESP32-S3 comme émetteur projet 2.0 mioty : aperçu généralL'approche de Fraunhofer pour les LPWAN sagesse d'atelierConseils pratiques d'experts Walter, le module IoT compactPartie 2 : Accéder aux services météorologiques et aux services de données

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AI in Practice Dive into the fascinating world of robotics and automation! This Elektor Special shows you how to build your own robots with creativity, a little know-how, and affordable technology. From your first DIY project with Arduino or Raspberry Pi to intelligent systems with AI – this issue makes modern robotics understandable and accessible. Discover practical instructions, inspiring projects, and exciting insights into the maker scene. Learn how experimentation, community, and openness give rise to true innovation – and why robotics is so much more than just a technical hobby. Contents Imagination turns into reality Arduino-controlled Drawing Robot GalaxyRVR Mars Rover Kit for Arduino YDLIDAR X4Pro Lidar xHuskyLens AI Camera DOF Robot Arm with Raspberry Pi Pico Manufacturing Robots with Fischertechnik Pneumatic Industrial Robot Why Do We Keep Building Robot Dogs? Elektor Mini-Wheelie Robot Vehicles and Autonomous Driving

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