Search results for "pirate or radio or rpi or zero or w or project or kit"
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Elektor Digital Elektor 07-08/2023 (PDF)
Diese Ausgabe steht allen GOLD- und GREEN-Mitgliedern auf der ElektorMagazine-Website zum Download bereit! Sie sind noch kein Mitglied? Hier klicken! Drehscheibentelefon als FernbedienungLicht einschalten, wählen Sie die 1, Kaffeemaschine einschalten, wähle Sie die 2 GPS-gestützte GeschwindigkeitsüberwachungNie mehr rasen, nie mehr Knöllchen! RGB-Stroboskop mit ArduinoFarbenfrohe Anwendung eines nützlichen Werkzeugs Drahtloser Notruf-TasterErhöhte Sicherheit mit LoRa Aller Anfang......muss nicht schwer sein: Folgen Sie dem Emitter! Beliebige und unabhängige Hysteresestufen für Komparatorenmit Simulationen, Tabellenkalkulationen und etwas Algebra ESP32-basierter Impedanz-AnalysatorEinfach, wenige Bauteile und preiswert! Das besondere ProjektErmutigung zum Heimwerken Mikrocontroller-Praxiskurs für Arduino-Einsteiger mit TrainingsboardAll-in-One-Trainingshardware für den Mikrocontroller-Kurs Aus dem Leben gegriffenModerner Luddismus Sensor 1x1: Temperatur-Sensor DS18B20Anschluss am 1-Draht-Bus Rettet Matter das Smart Home?Neue Standards zur Vereinfachung der Hausautomatisierung Eine Frage der ZusammenarbeitEntwickeln mit dem Board Thing Plus Matter und dem Simplicity Studio Infografik: IoT und Sensoren Matter, ExpressLink, Rainmaker - Worum geht es eigentlich?Interview mit Amey Inamdar von Espressif Development-Kits für IoT- und IIoT-ApplikationenÜber die Auswahl von Mikrocontroller-Entwicklungsboards Kondensatoren verhalten sich nicht immer kapazitiv Eine NTP-Uhr mit CircuitPythonWarum Sie diese Programmiersprache verwenden sollten Bauen Sie ein cooles IoT-DisplayMit dem Phambili Newt Der Doppler-Bewegungssensor HB100Theorie und Praxis eines ungewöhnlichen Sensors Eine Anleitung zur Bare-Metal-ProgrammierungTeil 1: STM32 und andere Controller Siglent-Multimeter SDM3045X Mikroprozessoren für eingebettete SystemeBemerkenswerte Bauteile Mikrocontroller-Dokumentation verstehenTeil 3: Blockdiagramme und mehr LoRa-Wetterstation mit niedriger StromaufnahmeBauen Sie Ihre entfernte Wetterstation selbst! Transverter für das 70-cm-Band Climate Calling EngineersMove Fast and Fix Things Hexadoku
€ 11,90
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Elektor Digital Machine Learning with Python for PC, Raspberry Pi, and Maixduino (E-book)
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.
€ 32,95
Members: € 29,66
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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)
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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.