Dieses Bundle enthält:
Buch: Get Started with the NXP FRDM-MCXN947 Development Board (Einzelpreis: 40 €)
NXP FRDM-MCXN947 Development Board (Einzelpreis: 30 €)
Buch: Get Started with the NXP FRDM-MCXN947 Development Board
Projekte zu Konnektivität, Grafik, maschinellem Lernen, Motorsteuerung und Sensoren entwickeln
Dieses (englischsprachige) Buch behandelt die Verwendung des FRDM-MCXN947 Development Boards, entwickelt von NXP Semiconductors. Es integriert den Dual Arm Cortex-M33, der mit bis zu 150 MHz arbeitet. Ideal für industrielle, IoT- und maschinelles Lernen-Anwendungen. Es verfügt über Hi-Speed USB, CAN 2.0, I³C und 10/100 Ethernet. Das Board beinhaltet einen integrierten MCU-Link-Debugger, FlexI/O zur Steuerung von LCDs und Dual-Bank-Flash für Lese-und-Schreib-Operationen, mit Unterstützung für große externe serielle Speicherkonfigurationen.
Eine der wichtigen Funktionen des Entwicklungsboards ist die integrierte eIQ Neutron Neural Processing Unit (NPU), die es den Nutzern ermöglicht, AI-basierte Projekte zu entwickeln. Das Entwicklungsboard unterstützt auch Arduino Uno-Header-Pins, was es mit vielen Arduino-Shields kompatibel macht, sowie einen mikroBUS-Anschluss für MikroElektronika Click Boards und einen Pmod-Anschluss.
Ein weiterer Vorteil des FRDM-MCXN947 Development Boards ist, dass es mehrere integrierte Debug-Probes enthält, die es Programmierern ermöglichen, ihre Programme direkt mit dem MCU zu debuggen. Mit Hilfe des Debuggers können Programmierer Schritt für Schritt durch ein Programm gehen, Breakpoints setzen, Variablen ansehen und ändern, und vieles mehr.
Im Buch wurden viele funktionierende und getestete Projekte mit der beliebten MCUXpresso IDE und dem SDK unter Verwendung verschiedener Sensoren und Aktoren entwickelt. Auch die Verwendung der populären CMSIS-DSP-Bibliothek wird anhand mehrerer häufig genutzter Matrixoperationen erklärt.
Die im Buch bereitgestellten Projekte können ohne Änderungen in vielen Anwendungen eingesetzt werden. Alternativ können die Leser ihre eigenen Projekte auf den im Buch vorgestellten Projekten aufbauen, während sie ihre eigenen Projekte entwickeln.
NXP FRDM-MCXN947 Development Board
TDas FRDM-MCXN947 ist ein kompaktes und vielseitiges Entwicklungsboard, das für das Rapid Prototyping mit MCX N94- und N54-Mikrocontrollern konzipiert wurde. Es verfügt über Industriestandard-Header für den einfachen Zugang zu den I/Os der MCU, integrierte serielle Schnittstellen nach offenem Standard, externen Flash-Speicher und einen Onboard-MCU-Link-Debugger.
Technische Daten
Mikrocontroller
MCX-N947 Dual Arm Cortex-M33-Kerne mit jeweils 150 MHz und optimierter Leistungseffizienz, bis zu 2 MB Dual-Bank-Flash mit optionalem Full-ECC-RAM, externer Flash
Beschleuniger: Neural Processing Unit, PowerQuad, Smart DMA usw.
Speichererweiterung
*DNP MicroSD-Kartensteckplatz
Konnektivität
Ethernet Phy und Connector
HS USB-C-Anschlüsse
SPI/I²C/UART-Anschluss (PMOD/mikroBUS, DNP)
WiFi-Anschluss (PMOD/mikroBUS, DNP)
CAN-FD-Transceiver
Debuggen
Integrierter MCU-Link-Debugger mit CMSIS-DAP
JTAG/SWD-Anschluss
Sensor
P3T1755 I³C/I²C-Temperatursensor, Touchpad
Erweiterungsoptionen
Arduino-Header (mit FRDM-Erweiterungszeilen)
FRDM-Header
FlexIO/LCD-Header
SmartDMA/Kamera-Header
Pmod *DNP
mikroBUS
Benutzeroberfläche
RGB-Benutzer-LED sowie Reset-, ISP- und Wakeup-Tasten
Lieferumfang
1x FRDM-MCXN947 Development Board
1x USB-C Kabel
1x Quick Start Guide
Downloads
Datasheet
Block diagram
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
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.
Technische Daten
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
Lieferumfang
1x FRDM-MCXN947 Development Board
1x USB-C Cable
1x Quick Start Guide
Downloads
Datasheet
Block diagram
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
Learn the basics of designing and making things with Inventables' software (Easel) and 3D carving machines (X-Carve and Carvey)
This book was written for people who have never carved before. It teaches the basics of designing and making things with Inventables' software (Easel) and 3D carving machines (X-Carve and Carvey). It showcases five step-by-step projects you can build yourself as a beginner, including an inspiration tile, kitchen cutting board, custom block stamp, fidget spinner, and balsa wood glider. The book also features a gallery of aspirational projects, like an electric guitar and a box joint toolbox, to show what else is possible through 3D carving. The design files and instructions for these more complex projects can be found on the Inventables website.
Projects Included
Participate in the world's largest mosaic tile wall
Build a glider to your own specifications
Create your own inlay cutting boards
Carve a fidget spinner toy
Craft wooden 3D stamps you can use to create your own greeting cards
STmicroelectronics’ wireless IoT & wearable sensor development kit
‘SensorTile.box’ is a portable multi-sensor circuit board housed in a plastic box and developed by STMicroelectronics. It is equipped with a high-performance 32-bit ARM Cortex-M4 processor with DSP and FPU, and various sensor modules, such as accelerometer, gyroscope, temperature sensor, humidity sensor, atmospheric pressure sensor, microphone, and so on. SensorTile.box is ready to use with wireless IoT and Bluetooth connectivity that can easily be used with an iOS or Android compatible smartphone, regardless of the level of expertise of the users. SensorTile.box is shipped with a long-life battery and all the user has to do is connect the battery to the circuit to start using the box.
The SensorTile.box can be operated in three modes: Basic mode, Expert mode, and Pro mode. Basic mode is the easiest way of using the box since it is pre-loaded with demo apps and all the user has to do is choose the required apps and display or plot the measured data on a smartphone using an app called STE BLE Sensor. In Expert mode users can develop simple apps using a graphical wizard provided with the STE BLE Sensor. Pro mode is the most complex mode allowing users to develop programs and upload them to the SensorTile.box.
This book is an introduction to the SensorTile.box and includes the following:
Brief specifications of the SensorTile.box; description of how to install the STE BLE Sensor app on an iOS or Android compatible smartphone required to communicate with the box.
Operation of the SensorTile.box in Basic mode is described in detail by going through all of the pre-loaded demo apps, explaining how to run these apps through a smartphone.
An introduction to the Expert mode with many example apps developed and explained in detail enabling users to develop their own apps in this mode. Again, the STE BLE Sensor app is used on the smartphone to communicate with the SensorTile.box and to run the developed apps.
The book then describes in detail how to upload the sensor data to the cloud. This is an important topic since it allows the sensor measurements to be accessed from anywhere with an Internet connection, at any time.
Finally, Pro mode is described in detail where more experienced people can use the SensorTile.box to develop, debug, and test their own apps using the STM32 open development environment (STM32 ODE). The Chapter explains how to upload the developed firmware to the SensorTile.box using several methods. Additionally, the installation and use of the Unicleo-GUI package is described with reference to the SensorTile.box. This PC software package enables all of the SensorTile.box sensor measurements to be displayed or plotted in real time on the PC.
In Get Started with MicroPython on Raspberry Pi Pico, you will learn how to use the beginner-friendly language MicroPython to write programs and connect up hardware to make your Raspberry Pi Pico interact with the world around it. Using these skills, you can create your own electro‑mechanical projects, whether for fun or to make your life easier.
Microcontrollers, like RP2040 at the heart of Raspberry Pi Pico, are computers stripped back to their bare essentials. You don’t use monitors or keyboards, but program them to take their input from, and send their output to the input/output pins.
Using these programmable connections, you can light lights, make noises, send text to screens, and much more. In Get Started with MicroPython on Raspberry Pi Pico, you will learn how to use the beginner-friendly language MicroPython to write programs and connect up hardware to make your Raspberry Pi Pico interact with the world around it. Using these skills, you can create your own electro‑mechanical projects, whether for fun or to make your life easier.
The robotic future is here – you just have to build it yourself. We’ll show you how.
About the authors
Gareth Halfacree is a freelance technology journalist, writer, and former system administrator in the education sector. With a passion for open-source software and hardware, he was an early adopter of the Raspberry Pi platform and has written several publications on its capabilities and flexibility.
Ben Everard is a geek who has stumbled into a career that lets him play with new hardware. As the editor of HackSpace magazine, he spends more time than he really should experimenting with the latest (and not-solatest) DIY tech.
Das Buch „Node-RED and Raspberry Pi Pico W“ beschreibt auf 527 Seiten die Node-RED-Programmierumgebung sehr detailliert mit spannenden Anwendungen. Nur bei Elektor erhält das Buch solide Hardware-Unterstützung in Form des beliebten SunFounder Kepler Kits mit über 450 Bauteilen einschließlich eines Raspberry Pico W Boards. Mit diesem Bundle lassen sich die meisten im Buch enthaltenen Experimente und Programmierübungen erfolgreich durchführen.
Dieses Bundle enthält:
Buch: Node-Red and the Raspberry Pi Pico W (Einzelpreis: 50 €)
SunFounder Kepler Kit für Raspberry Pi Pico W (Einzelpreis: 70 €)
Buch: Node-RED and Raspberry Pi Pico W
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.
Downloads
GitHub
SunFounder Kepler Kit für Raspberry Pi Pico W
Ihr Einstieg in die IoT- und Mikrocontroller-Programmierung
Mit über 450 Komponenten und 117 Online-Projekten beflügelt dieses umfassende Kit Ihre Kreativität. Die Tutorials von Paul McWhorter machen das Lernen sowohl für Anfänger als auch für Fortgeschrittene angenehm. Dieses Kit unterstützt MicroPython, C/C++ und Piper Make und bietet vielfältige Programmieroptionen.
Entdecken Sie Sensoren, Aktoren, LEDs und LCDs für endlose Projektmöglichkeiten. Von der Heimautomation bis zur Robotik unterstützt dieses Kit Ihre technische Reise.
Features
IoT-Starterkit für Anfänger: Dieses Kit bietet eine reichhaltige IoT-Lernerfahrung für Anfänger. Mit über 450 Komponenten, 117 Projekten und von Experten geleiteten Videolektionen macht dieses Kit das Erlernen der Mikrocontroller-Programmierung und des IoT ansprechend und leicht zugänglich.
Von Experten geleitete Video-Lektionen: Das Kit enthält 27 Video-Tutorials des renommierten Pädagogen Paul McWhorter. Sein engagierter Stil vereinfacht komplexe Konzepte und sorgt so für ein effektives Lernerlebnis in der Mikrocontroller-Programmierung.
Große Auswahl an Hardware: Das Kit enthält eine Vielzahl von Komponenten wie Sensoren, Aktoren, LEDs, LCDs und mehr, sodass Sie mit dem Raspberry Pi Pico W experimentieren und eine Vielzahl von Projekten erstellen können.
Unterstützt mehrere Sprachen: Das Kit bietet Vielseitigkeit mit Unterstützung für drei Programmiersprachen – MicroPython, C/C++ und Piper Make – und bietet so ein abwechslungsreiches Programmier-Lernerlebnis.
Dedizierter Support: Profitieren Sie von unserer fortlaufenden Unterstützung, einschließlich eines Community-Forums und zeitnaher technischer Hilfe für ein nahtloses Lernerlebnis.
Lieferumfang
Raspberry Pi Pico W
Breadboard
Überbrückungsdrähte
Widerstand
Transistor
Kondensator
Diode
Li-Po-Lademodul
74HC595
TA6586 – Motortreiberchip
LED
RGB-LED
LED-Balkendiagramm
7-Segment-Anzeige
4-stellige 7-Segment-Anzeige
LED-Punktmatrix
I²C LCD1602
WS2812 RGB 8 LED-Streifen
Summer
Gleichstrommotor
Servo
DC-Wasserpumpe
Relais
Schaltfläche
Mikroschalter
Schiebeschalter
Potentiometer
Infrarotempfänger
Joystick-Modul
4x4-Tastatur
MPR121-Modul
MFRC522-Modul
Fotowiderstand
Thermistor
Neigungsschalter
Reed-Schalter
PIR-Bewegungssensormodul
Wasserstandsensormodul
Ultraschallmodul
DHT11 Feuchtigkeitssensor
MPU6050-Modul
Dokumentation
Online-Tutorial
The Internet of Things is rapidly gaining interest, and that has fueled the development of the Edison. A tiny computer, the size of a postage stamp, with a lot of power and built-in wireless communication capabilities.
In this eBook we will help you get up-to-speed with the Edison, by installing the software both on the Edison as well as on your Windows PC. We will use the Edison Arduino break-out board because it is easy to work with. We will discuss Linux, Arduino C++ and Python, and show examples of how the Edison can interface with other hardware. We will use Wi-Fi and Bluetooth to set up wireless connections, and show you a trick to program sketches over Wi-Fi.
Once you have completed this book your Edison will be up and running with the latest software version, and you will have sufficient knowledge of both hardware and software to start making your own applications. You will even be able to program the Edison over USB and wireless both in Arduino C++ and Python.
This is not a projects eBook, but a toolbox that will allow you to explore the wonderful world of the Intel Edison!
STmicroelectronics’ wireless IoT & wearable sensor development kit
‘SensorTile.box’ is a portable multi-sensor circuit board housed in a plastic box and developed by STMicroelectronics. It is equipped with a high-performance 32-bit ARM Cortex-M4 processor with DSP and FPU, and various sensor modules, such as accelerometer, gyroscope, temperature sensor, humidity sensor, atmospheric pressure sensor, microphone, and so on. SensorTile.box is ready to use with wireless IoT and Bluetooth connectivity that can easily be used with an iOS or Android compatible smartphone, regardless of the level of expertise of the users. SensorTile.box is shipped with a long-life battery and all the user has to do is connect the battery to the circuit to start using the box.
The SensorTile.box can be operated in three modes: Basic mode, Expert mode, and Pro mode. Basic mode is the easiest way of using the box since it is pre-loaded with demo apps and all the user has to do is choose the required apps and display or plot the measured data on a smartphone using an app called STE BLE Sensor. In Expert mode users can develop simple apps using a graphical wizard provided with the STE BLE Sensor. Pro mode is the most complex mode allowing users to develop programs and upload them to the SensorTile.box.
This book is an introduction to the SensorTile.box and includes the following:
Brief specifications of the SensorTile.box; description of how to install the STE BLE Sensor app on an iOS or Android compatible smartphone required to communicate with the box.
Operation of the SensorTile.box in Basic mode is described in detail by going through all of the pre-loaded demo apps, explaining how to run these apps through a smartphone.
An introduction to the Expert mode with many example apps developed and explained in detail enabling users to develop their own apps in this mode. Again, the STE BLE Sensor app is used on the smartphone to communicate with the SensorTile.box and to run the developed apps.
The book then describes in detail how to upload the sensor data to the cloud. This is an important topic since it allows the sensor measurements to be accessed from anywhere with an Internet connection, at any time.
Finally, Pro mode is described in detail where more experienced people can use the SensorTile.box to develop, debug, and test their own apps using the STM32 open development environment (STM32 ODE). The Chapter explains how to upload the developed firmware to the SensorTile.box using several methods. Additionally, the installation and use of the Unicleo-GUI package is described with reference to the SensorTile.box. This PC software package enables all of the SensorTile.box sensor measurements to be displayed or plotted in real time on the PC.
Mastering the Language and the Development Platform
Many people would like to learn Java but getting started is not easy since programming with Java requires at least two things: mastering the programming language and the development environment. With the help of many examples, this book shows how the language is structured. In addition, it employs the Eclipse development environment as an example of a powerful tool to teach developing Java programs.
In Basics, the first part of the book, you acquire your Java and Eclipse basic knowledge. This part lays the programming foundations, gives you an overview of Java technology, and shows you what is special about object-oriented programming.
In the second part called Java Language, everything revolves around the subtleties of the Java language and this is where the first small Java applications are created, aided by a fine blend of the knowledge part and practical exercises.
Java Technology is both the name and the focus of the third part which also introduces you to the rules to observe when programming, what class libraries are and what advantages they have. In addition, you will learn how to test programs, what algorithms are, and how to program them.
The fourth part, Java Projects, enables you to apply all the previous elements in an application with a graphical user interface. The project shows how to develop a larger application piece by piece with the Eclipse development environment. The Appendix concludes with a section on frequent errors that can occur when working with Eclipse, and a Glossary.
Develop your own custom home automation devices
Espressif's ESP8266 and ESP32 microcontrollers have brought DIY home automation to the masses. However, not everyone is fluent in programming these microcontrollers with Espressif's C/C++ SDK, the Arduino core, or MicroPython. This is where ESPHome comes into its own: with this project, you don’t program your microcontroller but configure it.
This book demonstrates how to create your own home automation devices with ESPHome on an ESP32 microcontroller board. You’ll learn how to combine all kinds of electronic components and automate complex behaviours. Your devices can work completely autonomously, and connect over Wi-Fi to your home automation gateways such as Home Assistant or MQTT broker.
By the end of this book, you will be able to create your own custom home automation devices the way you want. Thanks to ESPHome and the ESP32, this is within everyone’s grasp.
Set up an ESPHome development environment and create maintainable configurations
Use buttons and LEDs
Sound a buzzer and play melodies
Read measurements from various types of sensors
Communicate over a short distance with NFC, infrared light, and Bluetooth Low Energy
Show information on various types of displays
Downloads
Software
