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Design IoT Projects with Raspberry Pi, Arduino and ESP32 The Internet of Things (IoT) is becoming a major application area for embedded systems. As a result, more and more people are becoming interested in learning about embedded design and programming. Technical colleges and universities are moving away from legacy 8 and 16-bit microcontrollers and are introducing 32-bit embedded microcontrollers to their curriculums. Many IoT applications demand precision, high processing power, and low power consumption. Produced by IBM, Node-RED is an open-source visual editor for wiring the Internet of Things. Node-RED comes with a large number of nodes to handle a multitude of tasks. The required nodes are selected and joined together to perform a particular task. Node-RED is based on flow type programming where nodes are configured and joined together to form an application program. There are nodes for performing complex tasks, including web access, Twitter, E-mail, HTTP, Bluetooth, MQTT, controlling GPIO ports, etc. One particularly nice aspect of Node-RED is that the programmer does not need to learn how to write complex programs. For example, an email can be sent by simply joining nodes together and writing only a few lines of code. The aim of this book is to teach how Node-RED can be used in projects. The main hardware platform used with most of the projects in this book is Raspberry Pi 4. Chapters are included to show how Node-RED can be also be used with Arduino Uno, ESP32 DevKitC, and the ESP8266 NodeMCU microcontroller development boards.

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From basics to flows for sensors, automation, motors, MQTT, and cloud services This book is a learning guide and a reference. Use it to learn Node-RED, Raspberry Pi Pico W, and MicroPython, and add these state-of-the-art tools to your technology toolkit. It will introduce you to virtual machines, Docker, and MySQL in support of IoT projects based on Node-RED and the Raspberry Pi Pico W. This book combines several elements into a platform that powers the development of modern Internet of Things applications. These elements are a flow-based server, a WiFi-enabled microcontroller, a high-level programming language, and a deployment technology. Combining these elements gives you the tools you need to create automation systems at any scale. From home automation to industrial automation, this book will help you get started. Node-RED is an open-source flow-based development tool that makes it easy to wire together devices, APIs, and online services. Drag and drop nodes to create a flowchart that turns on your lights at sunset or sends you an email when a sensor detects movement. Raspberry Pi Pico W is a version of the Raspberry Pi Pico with added 802.11n Wi-Fi capability. It is an ideal device for physical computing tasks and an excellent match to the Node-RED. Quick book facts Project-based learning approach. Assumes no prior knowledge of flow-based programming tools. Learn to use essential infrastructure tools in your projects, such as virtual machines, Docker, MySQL and useful web APIs such as Google Sheets and OpenWeatherMap. Dozens of mini-projects supported by photographs, wiring schematics, and source code. Get these from the book GitHub repository. Step-by-step instructions on everything. All experiments are based on the Raspberry Pi Pico W. A Wi-Fi network is required for all projects. Hardware (including the Raspberry Pi Pico W) is available as a kit. Downloads GitHub

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From basics to flows for sensors, automation, motors, MQTT, and cloud services This book is a learning guide and a reference. Use it to learn Node-RED, Raspberry Pi Pico W, and MicroPython, and add these state-of-the-art tools to your technology toolkit. It will introduce you to virtual machines, Docker, and MySQL in support of IoT projects based on Node-RED and the Raspberry Pi Pico W. This book combines several elements into a platform that powers the development of modern Internet of Things applications. These elements are a flow-based server, a WiFi-enabled microcontroller, a high-level programming language, and a deployment technology. Combining these elements gives you the tools you need to create automation systems at any scale. From home automation to industrial automation, this book will help you get started. Node-RED is an open-source flow-based development tool that makes it easy to wire together devices, APIs, and online services. Drag and drop nodes to create a flowchart that turns on your lights at sunset or sends you an email when a sensor detects movement. Raspberry Pi Pico W is a version of the Raspberry Pi Pico with added 802.11n Wi-Fi capability. It is an ideal device for physical computing tasks and an excellent match to the Node-RED. Quick book facts Project-based learning approach. Assumes no prior knowledge of flow-based programming tools. Learn to use essential infrastructure tools in your projects, such as virtual machines, Docker, MySQL and useful web APIs such as Google Sheets and OpenWeatherMap. Dozens of mini-projects supported by photographs, wiring schematics, and source code. Get these from the book GitHub repository. Step-by-step instructions on everything. All experiments are based on the Raspberry Pi Pico W. A Wi-Fi network is required for all projects. Hardware (including the Raspberry Pi Pico W) is available as a kit. Downloads GitHub

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Ready-to-use devices and self-built Arduino nodes in the 'The Things Network' LoRaWAN has developed excellently as a communication solution in the IoT. The Things Network (TTN) has contributed to this. The Things Network was upgraded to The Things Stack Community Edition (TTS (CE)). The TTN V2 clusters were closed towards the end of 2021. This book shows you the necessary steps to operate LoRaWAN nodes using TTS (CE) and maybe extend the network of gateways with an own gateway. Meanwhile, there are even LoRaWAN gateways suitable for mobile use with which you can connect to the TTN server via your cell phone. The author presents several commercial LoRaWAN nodes and new, low-cost and battery-powered hardware for building autonomous LoRaWAN nodes. Registering LoRaWAN nodes and gateways in the TTS (CE), providing the collected data via MQTT and visualization via Node-RED, Cayenne, Thingspeak, and Datacake enable complex IoT projects and completely new applications at very low cost. This book will enable you to provide and visualize data collected with battery-powered sensors (LoRaWAN nodes) wirelessly on the Internet. You will learn the basics for smart city and IoT applications that enable, for example, the measurement of air quality, water levels, snow depths, the determination of free parking spaces (smart parking), and the intelligent control of street lighting (smart lighting), among others.

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This bundle contains: Book: Get Started with the NXP FRDM-MCXN947 Development Board (normal price: €40) NXP FRDM-MCXN947 Development Board (normal price: €30) Book: Get Started with the NXP FRDM-MCXN947 Development Board Develop projects on connectivity, graphics, machine learning, motor control, and sensors This book is about the use of the FRDM-MCXN947 Development Board, developed by NXP Semiconductors. It integrates the dual Arm Cortex-M33, operating at up to 150 MHz. Ideal for Industrial, IoT, and machine learning applications. It features Hi-Speed USB, CAN 2.0, I³C and 10/100 Ethernet. The board includes an on-board MCU-Link debugger, FlexI/O for LCD control, and dual-bank flash for read-while-write operations, supporting large external serial memory configurations. One of the important features of the development board is that it features an integrated eIQ Neutron Neural Processing Unit (NPU), thus enabling users to develop AI-based projects. The development board also supports Arduino Uno form factor header pins, making it compatible with many Arduino shields, mikroBUS connector for MikroElektronika Click Boards, and Pmod connector. One of the nice things of the FRDM-MCXN947 development board is that it includes several on-board debug probes, allowing programmers to debug their programs by communicating directly with the MCU. With the help of the debugger, programmers can single-step through a program, insert breakpoints, view and modify variables and so on. Many working and tested projects have been developed in the book using the popular MCUXpresso IDE and the SDK with various sensors and actuators. Use of the popular CMSIS-DSP library is also explained with several commonly used matrix operations. The projects provided in the book can be used without any modifications in many applications. Alternatively, readers can base their projects on those given in the book during the development of their own projects. NXP FRDM-MCXN947 Development Board The FRDM-MCXN947 is a compact and versatile development board designed for rapid prototyping with MCX N94 and N54 microcontrollers. It features industry-standard headers for easy access to the MCU's I/Os, integrated open-standard serial interfaces, external flash memory, and an onboard MCU-Link debugger. Specifications Microcontroller MCX-N947 Dual Arm Cortex-M33 cores @ 150 MHz each with optimized performance efficiency, up to 2 MB dual-bank flash with optional full ECC RAM, External flash Accelerators: Neural Processing Unit, PowerQuad, Smart DMA, etc. Memory Expansion *DNP Micro SD card socket Connectivity Ethernet Phy and connector HS USB-C connectors SPI/I²C/UART connector (PMOD/mikroBUS, DNP) WiFi connector (PMOD/mikroBUS, DNP) CAN-FD transceiver Debug On-board MCU-Link debugger with CMSIS-DAP JTAG/SWD connector Sensor P3T1755 I³C/I²C Temp Sensor, Touch Pad Expansion Options Arduino Header (with FRDM expansion rows) FRDM Header FlexIO/LCD Header SmartDMA/Camera Header Pmod *DNP mikroBUS User Interface RGB user LED, plus Reset, ISP, Wakeup buttons Included 1x FRDM-MCXN947 Development Board 1x USB-C Cable 1x Quick Start Guide Downloads Datasheet Block diagram

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Kit Contents 1x Conductor 2 Ink Cartridge 1x Nozzles - 225 micron (pack of 4) 1x Burnishing Pads (pack of 3) 2x 2'x3' Substrates (pack of 10) 2x 3'x4' Substrates (pack of 6)

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Kit Contents 1x Standard Nozzles (pack of 4) 1x Burnishing Pads (pack of 3) 1x 2'x3' Substrates (pack of 10) 1x 3'x4' Substrates (pack of 6) 1x 'Hello World' Kit

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The LuckFox Pico Ultra is a compact single-board computer (SBC) powered by the Rockchip RV1106G3 chipset, designed for AI processing, multimedia, and low-power embedded applications. It comes equipped with a built-in 1 TOPS NPU, making it ideal for edge AI workloads. With 256 MB RAM, 8 GB onboard eMMC storage, integrated WiFi, and support for the LuckFox PoE module, the board delivers both performance and versatility across a wide range of use cases. Running Linux, the LuckFox Pico Ultra supports a variety of interfaces – including MIPI CSI, RGB LCD, GPIO, UART, SPI, I²C, and USB – providing a simple and efficient development platform for applications in smart home, industrial control, and IoT. Specifications Chip Rockchip RV1106G3 Processor Cortex-A7 1.2 GHz Neural Network Processor (NPU) 1 TOPS, supports int4, int8, int16 Image Processor (ISP) Max input 5M @30fps Memory 256 MB DDR3L WiFi + Bluetooth 2.4GHz WiFi-6 Bluetooth 5.2/BLE Camera Interface MIPI CSI 2-lane DPI Interface RGB666 PoE Interface IEEE 802.3af PoE Speaker interface MX1.25 mm USB USB 2.0 Host/Device GPIO 30 GPIO pins Ethernet 10/100M Ethernet controller and embedded PHY Default Storage Medium eMMC (8 GB) Included 1x LuckFox Pico Ultra W 1x LuckFox PoE module 1x IPX 2.4G 2 db antenna 1x USB-A to USB-C cable 1x Screws pack Downloads Wiki

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The ATmega328 Uno Development Board (Arduino Uno compatible) is a microcontroller board based on the ATmega328. It has 14 digital input/output pins (of which 6 can be used as PWM outputs), 6 analogue inputs, a 16 MHz ceramic resonator, a USB connection, a power jack, an ICSP header and a reset button. It contains everything needed to support the microcontroller; connect it to a computer with a USB cable or power it with a AC-to-DC adapter or battery to get started. Specifications Microcontroller ATmega328 Operating voltage 5 V DC Input voltage (recommended) 7-12 V DC Input voltage (limits) 6-20 V DC Digital I/O pins 14 (of which 6 provide PWM output) Analogue input pins 6 SRAM 2 kB (ATmega328) EEPROM 1 kB (ATmega328) Flash memory 32 kB (ATmega328) of which 0.5 kB used by bootloader Clock speed 16 MHz Downloads Manual

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The FRDM-MCXN947 is a compact and versatile development board designed for rapid prototyping with MCX N94 and N54 microcontrollers. It features industry-standard headers for easy access to the MCU's I/Os, integrated open-standard serial interfaces, external flash memory, and an onboard MCU-Link debugger. Specifications Microcontroller MCX-N947 Dual Arm Cortex-M33 cores @ 150 MHz each with optimized performance efficiency, up to 2 MB dual-bank flash with optional full ECC RAM, External flash Accelerators: Neural Processing Unit, PowerQuad, Smart DMA, etc. Memory Expansion *DNP Micro SD card socket Connectivity Ethernet Phy and connector HS USB-C connectors SPI/I²C/UART connector (PMOD/mikroBUS, DNP) WiFi connector (PMOD/mikroBUS, DNP) CAN-FD transceiver Debug On-board MCU-Link debugger with CMSIS-DAP JTAG/SWD connector Sensor P3T1755 I³C/I²C Temp Sensor, Touch Pad Expansion Options Arduino Header (with FRDM expansion rows) FRDM Header FlexIO/LCD Header SmartDMA/Camera Header Pmod *DNP mikroBUS User Interface RGB user LED, plus Reset, ISP, Wakeup buttons Included 1x FRDM-MCXN947 Development Board 1x USB-C Cable 1x Quick Start Guide Downloads Datasheet Block diagram

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Build your own AI microcontroller applications from scratch The MAX78000FTHR from Maxim Integrated is a small development board based on the MAX78000 MCU. The main usage of this board is in artificial intelligence applications (AI) which generally require large amounts of processing power and memory. It marries an Arm Cortex-M4 processor with a floating-point unit (FPU), convolutional neural network (CNN) accelerator, and RISC-V core into a single device. It is designed for ultra-low power consumption, making it ideal for many portable AI-based applications. This book is project-based and aims to teach the basic features of the MAX78000FTHR. It demonstrates how it can be used in various classical and AI-based projects. Each project is described in detail and complete program listings are provided. Readers should be able to use the projects as they are, or modify them to suit their applications. This book covers the following features of the MAX78000FTHR microcontroller development board: Onboard LEDs and buttons External LEDs and buttons Using analog-to-digital converters I²C projects SPI projects UART projects External interrupts and timer interrupts Using the onboard microphone Using the onboard camera Convolutional Neural Network

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The OKdo E1 is an ultra-low-cost Development Board based on the NXP LPC55S69JBD100 dual-core Arm Cortex-M33 microcontroller. The E1 board is perfect for Industrial IoT, building control and automation, consumer electronics, general embedded and secure applications. Features Processor with Arm TrustZone, Floating Point Unit (FPU) and Memory Protection Unit (MPU) CASPER Crypto co-processor to enable hardware acceleration for certain asymmetric cryptographic algorithms PowerQuad Hardware Accelerator for fixed and floating point DSP functions SRAM Physical Unclonable Function (PUF) for key generation, storage and reconstruction PRINCE module for real-time encryption and decryption of flash data AES-256 and SHA2 engines Up to Nine Flexcomm interfaces. Each Flexcomm interface can be selected by software to be a USART, SPI, I²C, and I²S interface USB 2.0 High-Speed Host/Device controller with on-chip PHY USB 2.0 Full-Speed Host/Device controller with on-chip PHY Up to 64 GPIOs Secure digital input/output (SD/MMC and SDIO) card interface Specifications LPC55S69JBD100 640kbyte flash microcontroller In-built CMSIS-DAP v1.0.7 debugger based on LPC11U35 Internal PLL support up to 100MHz operation, 16MHz can be mounted for full 150MHz operation. SRAM 320kB 32kHz crystal for real-time clock 4 user switches 3-colour LED User USB connector 2-off 16-way expansion connectors UART over USB virtual COM port

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