Program and Build Raspberry Pi 5 Based Ham Station Utilities with the RTL-SDR 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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The 16 mm lens provides a higher quality image than the 6 mm lens. It has a narrow angle of view which is more suited to viewing distant objects. Specifications Resolution 10 MegaPixel Image format 1' Focal length 16 mm Aperture F1.4-16 Mount C Field Angle 1'Field Angle 2/3'Field Angle 1/1.8'Field Angle 1/2' 44.6° × 33.6°30.0° × 23.2°24.7° × 18.6°21.8° × 16.4° Back Focal Length 17.53 mm Optical Length 67.53 mm Distortion 1'(-0.7%) 1/2'(-0.5%) 1/3'(-0.15%) M.O.D. 0.2 m Dimension 39 × 50 mm Weight 133.7 g

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This book discusses the basic components of any alarm system. All alarm systems have two basic functions. First, they monitor their environment looking for a change such as a door or window opening or someone moving about in the room. Second, they alert the legal owner or user to this change. The system described in this book uses a scanning type software to detect intruders. It behaves like a guard dog, pacing up and down the fence line on the lookout for either an intruder or a familiar person. If you have an alarm key, you can disarm the system and enter. With the scanning method, the software is easy to write and explain. It can scan eight alarm zones plus two special fire zones in about one second. You don’t have to be an electrical engineer to install an alarm system, just a decent carpenter, painter, and plasterer! Because this alarm system runs on 12 volts, you don’t have to be a licensed electrician either to install it. The alarm system presented here uses Python software on the Raspberry Pi combined with some elementary electronic circuits. The code described in the book, as well as CAD files and a bill of materials for the alarm panel, are available for free downloading. The book provides the reader with examples of typical configurations coming straight from the author‘s experience. After reviewing the hardware components typically used in common alarm systems, the author shows how to plan one yourself. To implement a modular alarm, no matter if it is for a single house or for a business or restaurant, the book shows how to skillfully combine a Raspberry Pi with small auxiliary electronic circuits. These are not installation instructions but food for thought that will enable readers to find a solution to their needs.

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The CS Mount Lens (3 MP, 6 mm) is designed for use with the Raspberry Pi HQ Camera Module, delivering sharp, detailed imaging for various applications.

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Raspberry Pi Pico Breadboard Kit helps the user to configure GPIO of Raspberry Pi Pico for use with external devices.Raspberry Pi Pico Breadboard Kit is a multi-purpose Kit that consists of a “400 points half-size breadboard” on top, a Programmable Buzzer, 4 programmable LEDs, 4 push buttons, and dedicated 5 V, 3V3, and GND pins at a single place. SB Components developed Raspberry Pi Pico Breadboard Kit with advanced features like independently controllable LEDs, Switches, a 400 points half-size breadboard that helps the user to prototype their projects with Raspberry Pi Pico in an efficient way.Raspberry Pi Pico Breadboard Kit can be interfaced with Raspberry Pi Pico from which a user can run electronics experiments, prototypes, mini robots, games, interact with Linux-ready Raspberry Pi, Exploration of circuits, etc. One can also connect external components with the breadboard provided on the top of the Raspberry Pi Pico Breadboard Kit.Features Four independent controlled LEDs Four independent controlled push buttons Compatible with Pico A 400 points half size breadboard Programmable buzzer Dedicated 5 V, 3V3 and Gnd pins for easy use Specifications Operating voltage 3.3 VDC Communication interface GPIO Dimensions 85 x 133 mm Applications Electrical experiments Prototypes Mini robots Games Exploration of circuits Downloads Manual Example codes Circuit diagram GitHub Included 1x Pico Breadboard Kit 5x Male to Male Jumper Wires 5x Female to Female Jumper Wires 5x Male to female Jumper Wires Note: Raspberry Pi Pico is not included.

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Features SPI-compatible, easy to drive Standard Raspberry Pi Pico header, supports Raspberry Pi Pico series Comes with development resources and manual (Raspberry Pi Pico C/C++ and MicroPython examples) Specifications Operating voltage 5 V Digits 4 Dispaly size 0.4 inch LED color red Driver 74HC595 Display part no. FJ4401AH Dimensions 52 × 21 mm

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The ETH-USB-Hub-Box is a Hub kit with ETH/USB Hub HAT (B) inside. It is tailored for Raspberry Pi Zero series, small in size, each cut-out of the case is exactly aligned with the connector. The case adopts classic Raspberry Pi red/white color combination, with quality dull polish surface, effectively keeping the Zero away from dust. This Hub Box will provide RJ45 Ethernet port and more USB capability for your Zero, make it easy to connect the Internet and sorts of USB devices. Features Designed for Raspberry Pi Zero, compatible with Zero series boards 3x extended USB ports, compatible with USB 2.0 / 1.1 Incorporates RTL8152B Ethernet chip, supports 1x RJ45 Ethernet port, 10/100M auto-negotiation Pogo pin design, for direct connecting with Raspberry Pi Zero/Zero W/Zero WH Angle rounded design, smooth hand feeling, 'simple snap' case lid Quality ABS material, dull polish surface, anti-fingerprint Comes with two different lids, changing as you like Included 1x ETH/USB Hub HAT (B) 1x ABS case 4x Rubber feets 1x Screws pack 1x Screwdriver Downloads Documentation

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5 V/2 A Micro-USB Power Supply (EU)

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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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The default configuration holds a mini breadboard (included), an SD card adapter, 2x micro SD cards, 2x USB devices, a micro-USB shim and of course the Raspberry Pi Zero itself. Users can decide to use the micro-USB shim slot to hold a micro-HDMI adapter, or you may want to hold a Portsplus or similar GPIO reference card in the SD adapter slot. You can choose to store your USB micro-SD card reader or even other larger USB devices such as the USBDoctor. Use it in whatever way works best for you. All of the Raspberry Pi Zero ports are accessible from the ZeroDock, including the camera port and reset/composite pin header. pHATs are also not obstructed, so you’re free to prototype with your favourite add-on boards. The case is a stylish mix of clear and black acrylic layers, black fixings and a clear breadboard, fitting in well alongside most desktop PCs/monitors. Assembly guide available here. Kit includes 4 layer laser-cut acrylic case Case and Raspberry Pi fixings Mini breadboard

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DC brushed motors are the most commonly used and widely available motors in the market. The Cytron 10 Amp 5-30 V DC Motor Driver will help you add functionality to your DC motor. It supports both sign-magnitude PWM signal and locked-antiphase. It is compatible with full solid-state components resulting in higher response time and eliminates the wear and tear of the mechanical relay. Features Supports motor voltage from 5 V to 30 V DC Current up to 13 A continuous and 30 A peak 3.3 V and 5 V logic level input Compatible with Arduino and Raspberry Pi Speed control PWM frequency up to 20 kHz Fully NMOS H-Bridge for better efficiency No heat sink is required Bi-directional control for one Brushed DC motor Regenerative Braking Downloads User Manual Arduino Library

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The Raspberry Pi Pico 2 W is a microcontroller board based on the RP2350 featuring 2.4 GHz 802.11n wireless LAN and Bluetooth 5.2. It gives you even more flexibility in your IoT or smart product designs and expanding the possibilities for your projects. The RP2350 provides a comprehensive security architecture built around Arm TrustZone for Cortex-M. It incorporates signed boot, 8 KB of antifuse OTP for key storage, SHA-256 acceleration, a hardware TRNG, and fast glitch detectors. The unique dual-core, dual-architecture capability of the RP2350 allows users to choose between a pair of industry-standard Arm Cortex-M33 cores and a pair of open-hardware Hazard3 RISC-V cores. Programmable in C/C++ and Python, and supported by detailed documentation, the Raspberry Pi Pico 2 W is the ideal microcontroller board for both enthusiasts and professional developers. Specifications CPU Dual Arm Cortex-M33 or dual RISC-V Hazard3 processors @ 150 MHz Wireless On-board Infineon CYW43439 single-band 2.4 GHz 802.11n wireless Lan and Bluetooth 5.2 Memory 520 KB on-chip SRAM; 4 MB on-board QSPI flash Interfaces 26 multi-purpose GPIO pins, including 4 that can be used for AD Peripherals 2x UART 2x SPI controllers 2x I²C controllers 24x PWM channels 1x USB 1.1 controller and PHY, with host and device support 12x PIO state machines Input power 1.8-5.5 V DC Dimensions 21 x 51 mm Downloads Datasheet Pinout Schematic

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The Arduino Nano RP2040 Connect is an RP2040-based Arduino board equipped with Wi-Fi (802.11b/g/n) and Bluetooth 4.2. Besides wireless connectivity the board comes with a microphone for sound and voice activation and a six-axis smart motion sensor with AI capabilities. An RGB LED is available too. 22 GPIO ports (20 with PWM support and eight analogue inputs) let the user control e.g. relays, motors and LEDs and read switches and other sensors. Program memory is plentiful with 16 MB of flash memory, more than enough room for storing many webpages or other data. Specifications Microcontroller Raspberry Pi RP2040 USB connector Micro USB Pins Built-in LED pins 13 Digital I/O pins 20 Analog Input pins 8 PWM pins 20 (Except A6, A7) External interrupts 20 (Except A6, A7) Connectivity Wi-Fi Nina W102 uBlox module Bluetooth Nina W102 uBlox module Secure element ATECC608A-MAHDA-T Crypto IC Sensors IMU LSM6DSOXTR (6-axis) Microphone MP34DT05 Communication UART Yes I²C Yes SPI Yes Power Circuit operating voltage 3.3 V Input Voltage (VIN) 5-21 V DC Current per I/O pin 4 mA Clock speed Processor 133 MHz Memory AT25SF128A-MHB-T 16 MB Flash IC Nina W102 uBlox module 448 KB ROM, 520 KB SRAM, 16 MB Flash Dimensions 45 x 18 mm Weight 6 g Downloads Schematics Pinout Datasheet

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Multitasking and multiprocessing have become a very important topic in microcontroller-based systems, namely in complex commercial, domestic, and industrial automation applications. As the complexity of projects grows, more functionalities are demanded from the projects. Such projects require the use of multiple inter-related tasks running on the same system and sharing the available resources, such as the CPU, memory, and input-output ports. As a result of this, the importance of multitasking operations in microcontroller-based applications has grown steadily over the last few years. Many complex automation projects now make use of some form of a multitasking kernel. This book is project-based and its main aim is to teach the basic features of multitasking using the Python 3 programming language on Raspberry Pi. Many fully tested projects are provided in the book using the multitasking modules of Python. Each project is described fully and in detail. Complete program listings are given for each project. Readers should be able to use the projects as they are, or modify them to suit their own needs. The following Python multitasking modules have been described and used in the projects: Fork Thread Threading Subprocess Multiprocessing The book includes simple multitasking projects such as independently controlling multiple LEDs, to more complex multitasking projects such as on/off temperature control, traffic lights control, 2-digit, and 4-digit 7-segment LED event counter, reaction timer, stepper motor control, keypad based projects, car park controller, and many more. The fundamental multitasking concepts such as process synchronization, process communication, and memory sharing techniques have been described in projects concerning event flags, queues, semaphores, values, and so on.

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The Raspberry Pi M.2 HAT+ enables you to connect M.2 peripherals such as NVMe drives and AI accelerators to Raspberry Pi 5’s PCIe 2.0 interface, supporting fast (up to 500 MB/s) data transfer to and from NVMe drives and other PCIe accessories. Raspberry Pi M.2 HAT+ supports devices that have the M.2 M key edge connector, in the 2230 and 2242 form factors. It is capable of supplying up to 3 A to connected M.2 devices. Features Supports single-lane PCIe 2.0 interface (500 MB/s peak transfer rate) Supports devices that use the M.2 M key edge connector Supports devices with the 2230 or 2242 form factor Capable of supplying up to 3 A to connected M.2 devices Power and activity LEDs Included 1x Raspberry Pi 5 M.2 HAT+ 1x Ribbon cable 1x GPIO stacking header 4x Spacers 8x Screws Downloads Datasheet Schematics Assembly instructions

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High quality aluminium case for Raspberry Pi 4 with integrated heatsink to prevent thermal throttling.

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The Raspberry Pi AI Camera is a compact camera module based on the Sony IMX500 Intelligent Vision Sensor. The IMX500 combines a 12 MP CMOS image sensor with on-board inferencing acceleration for various common neural network models, allowing users to develop sophisticated vision-based AI applications without requiring a separate accelerator. The AI Camera enhances captured still images or video with tensor metadata, while keeping the Raspberry Pi's processor free for other tasks. Support for tensor metadata in the libcamera and Picamera2 libraries, as well as the rpicam-apps application suite, ensures ease of use for beginners while providing unparalleled power and flexibility for advanced users. The Raspberry Pi AI Camera is compatible with all Raspberry Pi models. Features 12 MP Sony IMX500 Intelligent Vision Sensor Sensor modes: 4056x3040 (@ 10fps), 2028x1520 (@ 30fps) 1.55 x 1.55 µm cell size 78-degree field of view with manually adjustable focus Integrated RP2040 for neural network and firmware management Specifications Sensor Sony IMX500 Resolution 12.3 MP (4056 x 3040 pixels) Sensor size 7.857 mm (type 1/2.3) Pixel size 1.55 x 1.55 μm IR cut filter Integrated Autofocus Manual adjustable focus Focus range 20 cm – ∞ Focal length 4.74 mm Horizontal FOV 66 ±3° Vertical FOV 52.3 ±3° Focal ratio (F-stop) F1.79 Output Image (Bayer RAW10), ISP output (YUV/RGB), ROI, metadata Input tensor maximum size 640 x 640 (H x V) Framerate • 2x2 binned: 2028x1520 10-bit 30fps• Full resolution: 4056x3040 10-bit 10fps Ribbon cable length 20 cm Cable connector 15 x 1 mm FPC or 22 x 0.5 mm FPC Dimensions 25 x 24 x 11.9 mm Downloads Datasheet Documentation

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The Argon ONE M.2 Case ups the ante by providing two full-sized HDMI ports, power management modes that allows for automatic booting, built-in IR support with streamlined options for configuration and integrated M.2 SATA SSD support through the USB 3 ports of the Raspberry Pi 4. Argon ONE M.2 Case extended support for M.2 SATA SSDs allows you to maximize the true potential speeds of your Raspberry Pi 4. You will now be able to boot via an M.2 SATA SSD for faster boot times and larger storage capacity compared to the traditional microSD card. Argon ONE M.2 is UASP supported for the Raspberry Pi 4 which means you can maximize the transfer speeds of your M.2 SATA Drive. It is compatible with any M.2 SATA SSD with Key-B and Key B&M. Features M.2 SATA SSD CompatibilityAccepts any size of M.2 SATA SSD with Key-B or Key-B&M UASP Supported for Raspberry Pi 4Maximizes the high speed data transfers for Raspberry Pi 4 Two Full-Sized HDMIImproves the dual-monitor support of the Raspberry Pi 4 for its video input Power Management ModesOffers 2 power management options with automatic booting or “Always ON Mode” Built-in IR SupportProgrammable IR support to the Raspberry Pi with streamlined options. Works out of the box with the Argon ONE Remote. Active CoolingSoftware Programmable 30 mm FAN via the Argon ONE software Passive CoolingAluminum alloy top case acts as a giant heatsink connected to the CPU of the Raspberry Pi 4 Cable ManagementRepositioned all ports to the back of the Raspberry Pi 4 to highlight its sleek and modern design.

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