Search results for "lc OR meter OR kit"
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Elektor Edge Impulse Guest Edition 2025 (EN)
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
€ 14,90
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Elektor Digital Elektor Maart/April 2021 (PDF)
BEAUCOUP D'AMOUR D'INGÉNIERIE DE L'UE ET DES ÉTATS-UNIS SPARKFUN : LA VISION D'UN INGÉNIEUR DÉMARRER AVEC MICROMOD UNE MISE À NIVEAU POUR VOTRE JETBOT SPARKFUN comment j'ai étendu les fonctionnalités de mon JetBot (avec le Jetson Nano de NVIDIA). PROGRAMMER UN FPGA CONSTRUISEZ VOTRE PROPRE STATION DE RÉFÉRENCE GNSS LE PROJET HORLOGE SOUS LE CAPOT : KIT DE L'INVENTEUR SPARKFUN GLENN SAMALA DE SPARKFUN SUR LE DÉVELOPPEMENT DE PRODUITS ET LES NOUVEAUX MARCHÉS IMPRIMEZ LE VÔTRE AVEC SPARKFUN À LA CARTE CONCEVOIR AVEC LE SPARKFUN ARTEMIS PROTOTYPAGE RAPIDE AVEC L'ÉCOSYSTÈME QWIIC AFFICHE - QWIIC SOUS LE CAPOT : LE KIT SUPERCHARGEUR LIPO GREATSCOTT!/ELEKTOR DIY UNE ÉLECTRONIQUE REMARQUABLE du passé de SparkFun PARKING PARFAIT AVEC LIDAR RÉPARATION D'UN 'COUSSIN ENTERRÉ' DE LA CONCEPTION AU PRODUIT : LE SPARKFUN RTK SURVEYOR BONJOUR LE MONDE DU RASPBERRY PI PICO ET RP2040 le premier microcontrôleur et puce Raspberry Pi ROBOTS À QUATRE PATTES POUR AUTO-CONSTRUCTION AFFICHE - MICROMOD DÉVELOPPEMENT RISC-V IOT DANS AWS AVEC LES BIBLIOTHÈQUES FREERTOS OUI, ÉLECTRONIQUE = FUN ! passionnés d'électronique entre eux CATALOGUE DE PRODUITS SPARKFUN HEXADOKU Le Sudoku électorisé original
€ 9,95
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Elektor March/April 2025 (EN)
Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. The RISC-V Open-Source Processor Architecture16 Boards and MCUs You Should Know An FPGA-Based Audio Player with Equalizer (1)Mixing Digital Audio with an Arduino MKR Vidor 4000 Laser Head for Pico-Based Sand ClockDrawing with Light Enter the STM32 Edge AI Contest A Multi-Sensor Environmental Monitoring System for PlantsWireless Measurement of Water Supply and Light Conditions Maixduino AI-Powered Automatic DoormanFace Detection with a Camera Embedded Electronics 2024AI Is Set to Redefine the Industry Charge-Based In-Memory Compute at EnCharge AI AI Inferencing at 10 Times Lower Power and 20 Fold Lower Cost Click Board Helps Develop and Train ML Models for Vibration Analysis The Elektor Mini-WheelieA Self-Balancing Robot Kit MCU, I See YouMCUViewer Open-Source Multiplatform Debugging Tool USB 2.0 IsolatorElectrically Isolated Connections for USB Devices Intervention Before DamagePredictive Maintenance in Practice SPoE – Electromagnetic CompatibilitySingle-Pair with Power-Over-Ethernet Through the Eyes of EMC Color TV: A Wonder of Its TimeCreating a New World ECG Graph MonitoringAn Implementation with Hexabitz Modules and an STM32CubeMonitor The Battle for AI at the Edge HaLow Hits Record 16-km Wi-Fi Distance at 900 MHz First CHERI RISC-V Embedded Chip and Early Access Programme Third-Generation Wildfire Detection Uses Satellite Links From Life’s ExperienceChoice Overload Starting Out in Electronics……Continues Filtering and Controls Tone Quasi-Analog ClockworkA Remake of an Elektor Classic A Modular Approach to Sensor TestingThe ESP32-S3-Based Sensor Evaluation Board 2025: An AI OdysseyThe Rise of Foundation Models and Their Role in Democratizing AI Raspberry Pi Standalone MIDI Synthesizer (1)Preparing a Platform for Some Edge AI Experiments Err-lectronicsCorrections, Updates, and Readers’ Letters Universal AI RISC-V Processor Does It All — CPU, GPU, DSP, FPGA CEO Interview: Ventiva’s Thin and Cool Tech Dual-Core Programming with a Raspberry Pi PicoVenture Into the World of Parallel Programming
€ 10,95
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Elektor Digital Elektor Mars/Avril 2025 (PDF) FR
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'architecture de processeur open-source RISC-V16 cartes et MCU à connaître un lecteur audio avec égaliseur basé sur un FPGAMixage audio numérique avec un Arduino MKR Vidor 4000 tête laser pour l’horloge de sable basé sur Raspberry Pi PicoDessiner avec la lumière participez au concours STM32 Edge AI système de contrôle environnemental multi-capteurs pour les plantesMesure sans fil de l'approvisionnement en eau et de la luminosité porte automatique contrôlée par l'IA et MaixduinoReconnaissance faciale avec une caméra l’électronique embarquée en 2024L’IA va redéfinir l’industrie Calcul en mémoire basé sur la charge chez EnCharge AI des opérations d'IA avec 10 fois moins d'énergie et des coûts divisés par 20 Une carte pour le développement et l’entraînement des modèles ML d’analyse des vibrations Elektor Mini-WheelieKit robot gyropode (robot autostabilisé) MCUViewerMCUViewer outil de débogage open source multiplateforme isolateur USB 2.0Isolation éléctrique pour les périphériques USB anticipation et actionApplication pratique de la maintenance prédictive SPoE – compatibilité électromagnétiquePaire unique avec Power-over-Ethernet à travers les yeux d'EMC rétro-techCréer un monde nouveau avec la télévision couleur surveillance ECGavec des modules Hexabitz et STM32CubeMonitor la bataille pour l’IA en périphérie HaLow atteint une distance Wifi record de 16 km à 900 MHz première puce embarquée CHERI RISC-V et programme d'accès anticipé la détection des incendies de forêt de troisième génération utilise des liaisons satellites sur le vifDélices et supplices du choix démarrer en électronique......Filtrage et contrôle de la tonalité Kit d'horloge quasi-analogiqueNouvelle version d'un classique d'Elektor une approche modulaire de test des capteursCarte de test de capteurs basée sur l'ESP32-S3 2025 : une odyssée de l'IAL'essor des modèles de fondation et leur impact sur l'accessibilité de l'IA Synthétiseur MIDI autonome Raspberry Pi (1)Préparation d'une plateforme pour des expériences d’IA en périphérie projet 2.0Corrections, mises à jour et courrier des lecteurs Le RISC-V AI, un processeur à tout faire : CPU, GPU, DSP, FPGA paroles de PDG : fraîcheur, silence et finesse programmation Dual-Core avec le Raspberry Pi PicoLe monde de la programmation parallèle
€ 10,95
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Elektor Labs Elektor ESP32 Energy Meter
The Elektor ESP32 Energy Meter is a device designed for real-time energy monitoring and smart home integration. Powered by the ESP32-S3 microcontroller, it offers robust performance with modular and scalable features. The device uses a 110/230 VAC to 12 VAC step-down transformer for voltage sampling, ensuring galvanic isolation and safety. Its compact PCB layout includes screw-type terminal blocks for secure connections, a Qwiic connector for additional sensors, and a programming header for direct ESP32-S3 configuration. The energy meter is compatible with single-phase and three-phase systems, making it adaptable for various applications. The energy meter is simple to set up and integrates with Home Assistant, offering real-time monitoring, historical analytics, and automation capabilities. It provides accurate measurements of voltage, current, and power, making it a valuable tool for energy management in homes and businesses. Features Comprehensive Energy Monitoring: Get detailed insights into your energy usage for smarter management and cost savings. Customizable Software: Tailor functionality to your needs by programming and integrating custom sensors. Smart Home Ready: Compatible with ESPHome, Home Assistant, and MQTT for full Smart Home integration. Safe & Flexible Design: Operates with a 110/230 VAC to 12 VAC step-down transformer and features a pre-assembled SMD board. Quick Start: Includes one Current Transformer (CT) sensor and access to free setup resources. Specifications Microcontroller ESP32-S3-WROOM-1-N8R2 Energy Metering IC ATM90E32AS Status Indicators 4x LEDs for power consumption indication2x Programmable LEDs for custom status notifications User Input 2x Push buttons for user control Display Output I²C OLED display for real-time power consumption visualization Input Voltage 12~16 VAC (via a step-down transformer 110/230 VAC to 12 VAC) Clamp Current Sensor YHDC SCT013-000 (100 A/50 mA) included Smart Home Integration ESPHome, Home Assistant, and MQTT for seamless connectivity Connectivity Header for programming, Qwiic for sensor expansion Applications Supports single-phase and three-phase energy monitoring systems Dimensions 79.5 x 79.5 mm Included 1x Partly assembled board (SMDs are pre-mounted) 2x Screw terminal block connectors (not mounted) 1x YHDC SCT013-000 current transformer Required Power transformer not included Downloads Datasheet (ESP32-S3-WROOM-1) Datasheet (ATM90E32AS) Datasheet (SCT013-000) Frequently Asked Questions (FAQ) From Prototype to Finished Product What started as an innovative project to create a reliable and user-friendly energy meter using the ESP32-S3 microcontroller has evolved into a robust product. Initially developed as an open-source project, the ESP32 Energy Meter aimed to provide precise energy monitoring, smart home integration and more. Through meticulous hardware and firmware development, the energy meter now stands as a compact, versatile solution for energy management.
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Elektor Bundles Raspberry Pi 5 RTL-SDR V4 (Bundle)
Program and build Raspberry Pi based ham station utilities, tools, and instruments The improved RTL-SDR V4 allows you to receive radio signals between 500 kHz and 1.75 GHz from stations utilizing different bands including MW/SW/LW broadcast, ham radio, utility, air traffic control, PMR, SRD, ISM, CB, weather satellite, and radio astronomy. The book Raspberry Pi 5 for Radio Amateurs gives extensive coverage of deploying the RTL-SDR kit through the use of a Raspberry Pi 5. This bundle contains: RTL-SDR V4 (incl. Dipole Antenna Kit) (normal price: €75) Raspberry Pi 5 for Radio Amateurs (normal price: €40) RTL-SDR V4 (Software Defined Radio) with Dipole Antenna Kit RTL-SDR is an affordable dongle that can be used as a computer-based radio scanner for receiving live radio signals between 500 kHz and 1.75 GHz in your area. The RTL-SDR V4 offers several improvements over generic brands including use of the R828D tuner chip, triplexed input filter, notch filter, improved component tolerances, a 1 PPM temperature compensated oscillator (TCXO), SMA F connector, aluminium case with passive cooling, bias tee circuit, improved power supply, and a built in HF upconverter. RTL-SDR V4 comes with the portable dipole antenna kit. It is great for beginners as it allows for terrestrial and satellite reception and easy to mount outdoors and designed for portable and temporary outside usage. Features Improved HF reception: V4 now uses a built-in upconverter instead of using a direct sampling circuit. This means no more Nyquist folding of signals around 14.4 MHz, improved sensitivity, and adjustable gain on HF. Like the V3, the lower tuning range remains at 500 kHz and very strong reception may still require front end attenuation/filtering. Improved filtering: The V4 makes use of the R828D tuner chip, which has three inputs. The SMA input has been triplexed input into 3 bands: HF, VHF and UHF. This provides some isolation between the 3 bands, meaning out of band interference from strong broadcast stations is less likely to cause desensitization or imaging. Improved filtering x2: In addition to the triplexing, the open drain pin on the R828D can be also used, which allows to add simple notch filters for common interference bands such as broadcast AM, broadcast FM and the DAB bands. These only attenuate by a few dB, but may still help. Improved phase noise on strong signals: Due to an improved power supply design, phase noise from power supply noise has been significantly reduced. Less heat: Another advantage of the improved power supply is low power consumption and less heat generation compared to the V3. Included 1x RTL-SDR V4 dongle (R828D RTL2832U 1PPM TCXO SMA) 2x 23 cm to 1 m telescopic antenna 2x 5 cm to 13 cm telescopic antenna 1x Dipole antenna base with 60 cm RG174 1x 3 m RG174 extension cable 1x Flexible tripod mount 1x Suction cup mount Downloads Datasheet User Guide Quick Start Guide SDR# User Guide Dipole Antenna Guide Book: Raspberry Pi 5 for Radio Amateurs 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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SunFounder SunFounder Kepler Kit (Ultimate Starter Kit for Raspberry Pi Pico W)
Your gateway to IoT and microcontroller programming With 450+ components and 117 online projects, this comprehensive kit ignites your creativity. The tutorials by Paul McWhorter make learning enjoyable for beginners and advanced users. This kit supports MicroPython, C/C++, and Piper Make, offering diverse programming options. Explore sensors, actuators, LEDs, and LCDs for endless project possibilities. From home automation to robotics, this kit empowers your tech journey. Features IoT Starter Kit for Beginners: This kit offers a rich IoT learning experience for beginners. With 450+ components, 117 projects, and expert-led video lessons, this kit makes learning microcontroller programming and IoT engaging and accessible. Expert-Guided Video Lessons: The kit includes 27 video tutorials by the renowned educator, Paul McWhorter. His engaging style simplifies complex concepts, ensuring an effective learning experience in microcontroller programming. Wide Range of Hardware: The kit includes a diverse array of components like sensors, actuators, LEDs, LCDs, and more, enabling you to experiment and create a variety of projects with the Raspberry Pi Pico W. Supports Multiple Languages: The kit offers versatility with support for three programming languages - MicroPython, C/C++, and Piper Make, providing a diverse programming learning experience. Dedicated Support: Benefit from our ongoing assistance, including a community forum and timely technical help for a seamless learning experience. Included Raspberry Pi Pico W Breadboard Jumper Wires Resistor Transistor Capacitor Diode Li-po Charger Module 74HC595 TA6586 – Motor Driver Chip LED RGB LED LED Bar Graph 7-segment Display 4-Digit 7-Segment Display LED Dot Matrix I²C LCD1602 WS2812 RGB 8 LEDs Strip Buzzer DC Motor Servo DC Water Pump Relay Button Micro Switch Slide Switch Potentiometer Infrared Receiver Joystick Module 4x4 Keypad MPR121 Module MFRC522 Module Photoresistor Thermistor Tilt Switch Reed Switch PIR Motion Sensor Module Water Level Sensor Module Ultrasonic Module DHT11 Humiture Sensor MPU6050 Module Documentation Online Tutorials in 3 languages (EN, DE and JP)