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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. For Eyes and Ears Video Output with Microcontrollers (1)Composite Video electronica 2022News from the world’s leading electronics trade show ESP32 CameraSo Simple, It Doesn’t Even Have to Use Wi-Fi ATX Power Supply for Raspberry Pi 32 Ω Headphone AmplifierSimple But High-Quality 3-Chip Solution SDR Radio-Controlled clocksFive Time Signals, Six Displays Starting Out in ElectronicsSpecial Diodes From Life's ExperienceMusings on the Quality of Things Reverse-Engineering a Bluetooth Low Energy LED BadgeHow to Control a BLE Device with a Python Script MakePython ESP32 Development KitEverything in a Box THD Measurement with an Oscilloscope and FFTEasily Calculate the Distortion Factor All-Seeing MachinesThe Technology Behind Today’s Industrial Vision Systems Infographics The Evolution of Voice and Audio Control for Electronic Devices WEEF 2022 in Review FFWD electronica 2022 in ReviewInnovators Did Not Fail to Impress The TubeAn Unusual Tube Amplifier Biomaterial in Electronics: Ready or Not Opera Cake Antenna Switch for HackRF OneConnect Up To Eight Antennas To Your SDR Engineering with Arduino and MoreAn Interview with Author Ashwin Pajankar LiDAR Precision GaugeMeasure up to 12 Meters Audio Signals and the ESP32The ESP-ADF Environment in Practice Elektor Fortissimo-100 Power Amplifier Kit Using Light for Sound EffectsLDR-Based Voltage-Controlled 24 dB/oct Synthesizer Filter Elektor High-Power AF AmplifierThe Loudest of Them All! HomeLab ToursA Volumetric Display Made in Canada Err-lectronicsCorrections, Updates and Readers’ Letters Hexadoku

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Siglent's SDS2000X Plus series Digital Storage Oscilloscopes are available in bandwidths of 100 MHz, 200 MHz, and 350 MHz, have a maximum sample rate of 2 GSa/s, a maximum record length of 200 Mpts/ch, and up to 4 analog channels + 16 digital channels mixed-signal analysis ability. The SDS2000X Plus series employs Siglent?s SPO technology with a maximum waveform capture rate of up to 120,000 wfm/s (normal mode, up to 500,000 wfm/s in Sequence mode), 256-level intensity grading display function plus a color temperature display mode. It also employs an innovative digital trigger system with high sensitivity and low jitter. The trigger system supports multiple powerful triggering modes including serial bus triggering. History waveform recording, Sequence acquisition, Search and Navigate functions allow for extended waveform records to be captured, stored, and analyzed. An impressive array of measurement and math capabilities, options for a 50 MHz waveform generator, as well as serial decoding, mask test, bode plot, and power analysis are also features of the SDS2000X Plus. A 10-bit acquisition mode helps to satisfy applications that require more than 8-bit resolution. The large 10.1?? capacitive touch screen supports multi-touch gestures, while the remote web control, mouse and external keyboard support greatly improve the operating efficiency of the SDS2000X Plus. Features 100 MHz, 200 MHz, 350 MHz (upgradable to 500 MHz) models Real-time sampling rate up to 2 GSa/s Record length up to 200 Mpts Serial bus triggering and decoder, supports I²C, SPI, UART, CAN, LIN, CAN FD, FlexRay, I²S and MIL-STD-1553B Provide 10 bit mode, Vertical and Horizontal Zoom Capacitive touch screen supports multi-touch gestures Siglent SDS2000X Plus Oscilloscopes   SDS2102X Plus SDS2104X Plus SDS2204X Plus SDS2354X Plus Bandwidth 100 MHz 100 MHz 200 MHz 350 MHz Channels 2 4 4 4 Real-time sampling rate 2 GSa/s 2 GSa/s 2 GSa/s 2 GSa/s Capture rate 120,000 wfm/s 120,000 wfm/s 120,000 wfm/s 120,000 wfm/s Memory depth 200 Mpts/ch 200 Mpts/ch 200 Mpts/ch 200 Mpts/ch Included Siglent SDS2204X Plus Oscilloscope Passive probes Power cord USB cable Manual Downloads Datasheet Manual Quick guide User manual Firmware

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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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DIY LiPo Supercharger KitFrom Handcrafted to Mass Market Elektor @ 60Reflections on Six Decades of Electronics Siglent Bench Multimeter SDM3045X DC Current-Sense ClampHall Sensor + Ferrite Core + Arduino Soldering Station 2021Easy to build! Hands On the Parallax Propeller 2Part 2: The Development Environment and Code Wi-Fi for LoRa SwitchIntegrated in Home Assistant with ESPHome Do Not Fear the Cellular Module! Tracking Time with ESP32 and TogglWorking with the M5Stack Get to Know the Raspberry Pi Pico Board and RP2040 MicroPython for MicrocontrollersSmall-Format Screens 12-to-200-V DC/DC Converter for Valve Amplifiers Heat SeekerThe Seek Shot Pro Thermal Imaging Camera Object-Oriented Programming: A Short Primer Using C++ HomeLab ToursHome Lab and an Analogue Synthesiser by Kurt Diedrich Java on the Raspberry PiPart 1: GPIOs DIP SwitchesPeculiar Parts, the series Project 2.0Corrections, Updates and Readers’ Letters Whose Product Is It Anyway?Right to Repair Gains Momentum From Life's ExperienceThe Great Book of Blunders Micro-ProfessorLearning Assembly Language on a Z80 Starting out in ElectronicsEasier Than Imagined! Even When It Is About Capacitors HexadokuThe Original Elektorized Sudoku

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. USB Measurement AdapterTesting Current and Signal Quality of USB Ports 4...20 mA Current Output for Arduino UnoA Reliable, EMI-Insensitive Current Loop Interface Vacuum Cleaner Automatic ControlKeep Your Tools’ Work Area Clean DDS Generator with ATtiny Opamp-Tester V2New PCB – Now Also Suitable for SMDs 550-mW “Lamp” Audio AmplifierGet the Warm Sound of Vacuum Tubes With Ease Fuse GuardMonitoring a Fuse with a Flashing LED HQ RIAA PreamplifierGet the Most Out of Your Vinyl Records! Turntable Speed CalibratorAn Arduino-Based 100–120 Hz Strobe Light Generator Elektor Classics: video buffer/repeater Infrared Remote-Controlled DimmerControl Your Halogen or LED Floor Lamp Effortlessly and With Style How to Use switch…case on Strings in C++/Arduino IDE Magnet FinderWith a Simple Hall-Effect Sensor Raspberry Pi Smart Power ButtonA Solution for Raspberry Pi Up to Model 4 Essential Maker TipsProfessional Insights for Everyday Making Practical Projects with the 555 TimerDC Motor Control and Fast Reaction Challenges Basic AC-Load-On MonitorSave Energy with a Simple Device Power Banks in ParallelA Three-Day Continuous Power Solution VFO Up to 15 MHzAn Implementation With Raspberry Pi Pico Violin Tuner with ATtiny202 Elektor Classics: video amplifier for B/W television sets Capacitance Meter20 pF to 600 nF Quasi-Analog Clockwork Mk IITwo LED Rings for Hours and Minutes You Can Do Anything You Want(with the Arduino Ecosystem at Your Side) Neon Lamp Dice Elektor Classics: RTTY calibrator indicator Inspiring Hardware Designs for Your ESPs Elektor Classics: variable 3 A power supply RGB LEDs with Integrated Control CircuitLight with Precision: ICLEDs Set Standards Experiment: Towards a Mixed-Signal Theremin?Blending Modern Time-of-Flight Sensors With the Timeless XR2206 Analog Generator ESP32 Audio Transceiver Board (Part 1)SD Card WAV File Player Demo Infographics: Circuits and Circuit Design 2025 Small Audio MixerA Simple and Versatile Scalable Design Smart Staircase Light TimerSave More Money on the Energy Bill! Smarten Up Your ShuttersControlling Velux Hardware With an ESP32 and MQTT Solid-State Foot WarmerEnergy-Efficient Comfort Is the M5Stamp Fly Quadcopter the Next Tello? Boosting Wi-Fi Range of the ESP32-C3 SuperMiniA Simple and Effective Antenna Mod ZD-8968 Hot-Air Soldering StationA Budget-Friendly Workhorse or Just Hot Air? Parking Sensor TesterFinding Defects in the PDC System of a Car

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Caractéristiques Bande passante : 50 MHz Canaux analogiques : 4 Taux d'échantillonnage en temps réel jusqu'à 1 GS/s Profondeur de mémoire jusqu'à 24 Mpts Taux de capture de forme d'onde jusqu'à 30 000 wfms/s Fonctions matérielles d'enregistrement et de lecture de forme d'onde en temps réel jusqu'à 60 000 images Technologie innovante « UltraVision » Diverses fonctions de déclenchement et de décodage de bus Faible bruit de fond, plage d'échelle verticale : 1 mV/div à 10 V/div Diverses interfaces : hôte et périphérique USB, LAN (LXI), AUX Taille compacte, poids léger, facile à utiliser Écran LCD TFT WVGA (800 x 480) de 7 pouces, écran couleur à intensité variable Inclus 1x Rigol DS1054Z Oscilloscope 1x Cordon d'alimentation 1x Câble USB 4x Sonde d'oscilloscope passif PVP2150 (150 MHz)

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The Siglent SDS814X HD digital storage oscilloscope is based on 2 GSa/s, 12-bit Analog-Digital Converters and front ends with excellent noise floor performance. With a 100 MHz bandwidth, and a maximum record length of 50 Mpts, and the capability to analyze 4 analog channels alongside 16 digital channels, the SDS814X HD is perfectly suited for mixed signal analysis. Caractéristiques 12-bit High Resolution 12-bit Analog-Digital Convertors with sample rate up to 2 GSa/s Front ends with 70 μVrms noise floor @ 100 MHz bandwidth 2/4 analog channels, up to 700 MHz bandwidth SPO technology Waveform capture rate up to 80,000 wfm/s (normal mode), and 500,000 wfm/s (sequence mode) Supports 256-level intensity grading and color temperature display modes. Up to 50 Mpts record length Digital trigger system Intelligent trigger: Edge, Slope, Pulse width, Window, Runt, Interval, Dropout, Pattern, Video (HDTV supported), Qualified, Nth edge, Delay, Setup/Hold time. Serial bus triggering and decoder, supports protocols I²C, SPI, UART, CAN, LIN. Segmented acquisition (Sequence) mode, dividing the maximum record length into multiple segments (up to 80,000), according to trigger conditions set by the user, with a very small dead time between segments to capture the qualifying event. History waveform record (History) function, the maximum recorded waveform length is 80,000 frames. Automatic measurements on 50+ parameters, supports statistics with histogram, track, trend, Gating measurement, and measurements on Math, History and Ref. 4 Math traces (2 Mpts FFT, addition, subtraction, multiplication, division, integration, differential, square root, etc.), supports formula editor. Abundant data analysis functions such as Search, Navigate, Counter, Bode plot and Power Analysis High Speed hardware-based Mask Test function, with Mask Editor tool for creating user-defined masks 16 digital channels (optional) 25 MHz waveform generator (optional) 7" TFT-LCD display with 1024 x 600 resolution; Capacitive touch screen supports multi-touch gestures. Interfaces include: USB Hosts, USB Device (USBTMC), LAN (VXI-11/Telnet/Socket), Pass/Fail, Trigger Out Built-in web server supports remote control over the LAN port using a web browser. Supports SCPI remote control commands. Supports external mouse and keyboard. Supports NTP. Spécifications Analog Channels 4 Bandwidth 100 MHz Vertical resolution 12-bit Sample rate (Max.) One channel mode: 2 GSa/sTwo channel mode: 1 GSa/sFour channel mode: 500 MSa/s Memory depth (Max.) One channel mode: 50 Mpts/chTwo channel mode: 25 Mpts/chFour channel mode: 10Mpts/ch Waveform capture rate (Max.) Normal mode: 80,000 wfm/sSequence mode: 500,000 wfm/s Trigger type Edge, Slope, Pulse width, Window, Runt, Interval, Dropout, Pattern, Video, Qualified, Nth edge, Delay, Setup/Hold time, Serial Serial trigger and decode (Standard) I²C, SPI, UART, CAN, LIN Measurement 50+ parameters, statistics, histogram, trend, and track supported Math 4 traces 2 Mpts FFT, Filter, +, -, x, ÷, ∫dt, d/dt, √, Identity, Negation, Absolute, Sign, ex, 10x, ln, lg, Interpolation, MaxHold, MinHold, ERES, Average. Supports formula editor Data analysis Search, Navigate, History, Mask Test, Counter, Bode plot, and Power Analysis Digital channel (optional) 16-channel; maximum sample rate up to 1 GSa/s; record length up to 10 Mpts USB AWG module (option) One channel, 25 MHz, sample rate of 125 MHz, wave length of 16 kpts, isolated output I/O 2x USB 2.0 Host, USB 2.0 Device, 10/100 M LAN, Auxiliary output (TRIG OUT, PASS/FAIL), SBUS (Siglent MSO) Probe (Standard) Passive probe PB470 for each channel Display 7 TFT-LCD with capacitive touch screen (1024x600) Inclus 1x Siglent SDS814X Oscilloscope 4x Passive probe (100 MHz) PP510 1x Power cord (EU) 1x USB cable 1x Certificate of calibration 1x Quick start Téléchargements Datasheet Manual Programming guide

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Projects with Thonny-IDE, uPyCraft-IDE, and ESP32 The 'Python' programming language has enjoyed an enormous upswing in recent years. Not least, various single-board systems such as the Raspberry Pi have contributed to its popularity. But Python has also found widespread use in other fields, such as artificial intelligence (AI) or machine learning (ML). It is obvious, therefore, to use Python or the 'MicroPython' variant for use in SoCs (Systems on Chip) as well. Powerful controllers such as the ESP32 from Espressif Systems offer excellent performance as well as Wi-Fi and Bluetooth functionality at an affordable price. With these features, the Maker scene has been taken by storm. Compared to other controllers, the ESP32 has a significantly larger flash and SRAM memory, as well as a much higher CPU speed. Due to these characteristics, the chip is not only suitable for classic C applications, but also for programming with MicroPython. This book introduces the application of modern one-chip systems. In addition to the technical background, the focus is on MicroPython itself. After the introduction to the language, the programming skills learned are immediately put into practice. The individual projects are suitable for use in the laboratory as well as for everyday applications. So, in addition to the actual learning effect, the focus is also on the joy of building complete and useful devices. By using laboratory breadboards, circuits of all kinds can be realized with little effort, turning the testing and debugging of the 100% homebrew projects into an instructive pleasure. The various applications, such as weather stations, digital voltmeters, ultrasound range finders, RFID card readers or function generators, make the projects presented ideally suited for practical courses or subject and study work in the natural sciences, or in science and technology classes.

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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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Le uArm Swift Pro est un bras robotique de haute qualité qui peut être utilisé dans un large éventail d'applications. Le uArm Swift Pro a été développé et optimisé pour une utilisation dans l'enseignement, ce qui signifie que de nombreux packages sont déjà disponibles pour les plateformes open source telles que ROS. Le uArm Swift Pro a une répétabilité de position de 0,2 mm et est également équipé d'un moteur pas à pas et d'un encodeur 12 bits. Ce ne sont là que quelques-unes des raisons qui font du uArm Swift Pro un excellent choix pour une utilisation pédagogique. Le kit d'impression 3D, qui permet de convertir le uArm Swift Pro en imprimante 3D en moins d'une minute, est une autre caractéristique intéressante. L'uArm peut être utilisé avec les plateformes/systèmes de développement suivants : SDK UFACTORY Arduino Python ROS GRABCAD OpenMV Application pour smartphone L'application pour smartphone iOS est déjà disponible dans l’App Store et permet de contrôler et de surveiller facilement le bras robotique. L'application pour Android est en cours de développement et sera bientôt disponible. Un exemple de vision industrielle Le GIF suivant montre l'uArm en combinaison avec l'OpenMV Machine Vision Cam M7 et les applications de reconnaissance faciale qui peuvent être mises en œuvre en MicroPython. Spécifications Degrés de liberté : 4 Répétabilité : Jusqu'à 0,2 mm Charge utile : 500 g Plage de travail : 50-320 mm Vitesse de positionnement : 100 m/s Retour de position : codeur 12 bits Dimensions : 150 x 140 x 281 mm 150 x 140 x 281 mm Poids : 2,2 kg Inclus UFactory uArm Swift Pro Body Bluetooth & Pince à vide Téléchargements Fiche technique  

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ELEKTOR AIDE L'électronique dans des temps difficiles AFFICHAGE D'INFORMATION POUR LA MAISON avec Windows sur le Raspberry Pi DÉMARRER AVEC NODE-RED un outil de programmation open source basé sur des blocs visuels LA tombola d'ÉTÉ d'ELEKTOR GREATSCOTT ! CONSTRUIRE UN SYSTÈME D'ALARME LORA REVUE : ALIMENTATION DE LABORATOIRE JOY-IT RD6006 (KIT) REVUE : INTERFACEBOARD GREATFET ONE QUI N'HONNE PAS LES PETITS – XXL de la boîte à suggestions d'Elektor ANTENNE WIFI EXTERNE 2,4 GHZ POORLUIS CONTRÔLE FACILE DE LA TEMPÉRATURE MARCHE/ARRÊT AVEC CHAPEAU RASPBERRY PI COMMENT PRENDRE DE (BONNES) PHOTOS DÈS L'IMPRESSION... ...et les composants électroniques ? REVUE : NOYAU I2CDRIVER ÉCRAN TACTILE JOY-VIEW 13 DE JOY-IT BOOSTER LED POUR MICROCONTRÔLEURS avec un seul composant ! MACHINE À LAVER À ULTRASONS EXPÉRIMENTALE REVUE : GÉNÉRATEUR DE SIGNAUX JOY-IT JDS2915 générateur de signaux doubles avec compteur de fréquence dans un boîtier métallique PROGRAMMATION DES FEUX DE SIGNALISATION EN LANGAGE PIC ASSEMBLY LED CLIGNOTANT PERMANENT CAPTEUR DE HALL EXPÉRIMENTAL DÉTECTER LES COURT-CIRCUITS AVEC UN MILLIOHM OU ESR MÈTRE KIT PRATIQUE ÉLECTRIQUE SDR PIPELINE DE LABORATOIRES ÉLECTRIQUES KICK-STARTER ÉLECTRIQUE ....eh bien, vous voyez ce que nous voulons dire. AVEZ-VOUS VRAIMENT BESOIN DE TOUT ÇA ??? ici, je passe de nombreuses heures sur des projets électroniques... LABORATOIRE EST OUEST MEILLEUR un aperçu du plus saint des saints, où naissent des projets intéressants BONJOUR LE MONDE! NOUS SOMMES ELEKTOR ET NOUS SOMMES SOCIAUX M4 + A7 + GPU : UNE ÉQUIPE DE RÊVE INÉGALE le nouveau SoC STM32MP1 pour les travaux plus lourds CONFIGURATION DE TEST POUR LE 16F18877 ET AUTRES GRANDES PHOTOS COMMUNICATION INTER-ΜC AVEC LE BUS SPI ET ATMEGA328P SIX VARIANTES DE L'OSCILLATEUR LF/AF (et la capacité de M. Miller) BBC MICRO:BIT oscilloscope absolument minimaliste avec affichage LED FEU DE RUNNING À LED 'KNIGHT RIDER' AVEC ESP32 GÉNÉRATEUR DE SIGNAUX AM LW/MW AVEC ATTINY13 DIPMÈTRE ABSOLUMENT MINIMALISTE SCOOTERS ÉLECTRIQUES BON MARCHÉ quelle est la qualité d'un scooter électrique « homologué » à 300 euros de Lidl ? AIDE AU STATIONNEMENT À ULTRASONS AVEC ARDUINO UNO PÉDALE DE DISTORSION AVEC AMPLI OP ET TUBES DE CHARGE SPATIALE INDISPENSABLE POUR CHAQUE LABORATOIRE D'ÉLECTRONIQUE HEXADOKU IA POUR DÉBUTANTS (2) réseaux de neurones avec Linux et Python

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Maintenant, vous pouvez connecter vos cartes Arduino avec le câble USB officiel d'Arduino. Grâce à une connexion USB-C vers USB-C avec un adaptateur USB-A, ce câble USB de données peut facilement relier vos cartes Arduino à l'appareil de programmation de votre choix. Le câble USB d'Arduino possède une gaine tressée en nylon aux couleurs typiques d'Arduino, blanc et teal (bleu-vert). Les connecteurs ont une coque en aluminium qui protège votre câble tout en ayant un aspect élégant. Longueur : 100 cm Coque en aluminium avec logo Gaine tressée en nylon blanc et teal

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