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Het Elektor Arduino Nano MCCAB Training Board bevat alle componenten (incl. Arduino Nano) die nodig zijn voor de oefeningen, zoals LED’s, schakelaars, drukknoppen, buzzer enz. Ook externe sensoren, motoren of modules kunnen worden gecheckt of bestuurd met dit microcontroller-trainingssysteem. Specificaties (Arduino Nano Training Board MCCAB) Voeding Via de USB-aansluiting van de aangesloten pc of een externe voeding (niet inbegrepen) Spanning +5 Vcc Ingangsspanning Alle ingangen 0 V tot +5 V VX1 en VX2 +8 V tot +12 V (alleen bij gebruik van een externe voeding) Hardware LCD 2x16 karakters Potentiometer P1 & P2 JP3: Selectie van de werkspanning van P1 & P2 Verdelers SV4: Verdeler voor de werkspanningenSV5, SV6: Verdelers voor de in-/uitgangen van de microcontroller Schakelaars en knoppen RESET knop op de Arduino Nano module; 6x drukknop schakelaars K1 ... K6; 6x Schuifschakelaars S1 ... S6; JP2: Jumper van de schakelaars met de ingangen van de microcontroller Buzzer Piezo buzzer ‘Buzzer1’ met jumper op JP6 Indicator LED’s 11 x LED: Status indicator voor de ingangen/uitgangen LED L op de Arduino Nano module, aangesloten op GPIO D13 JP6; Aansluiting van LED's LD10 ... LD20 met GPIO's D2 ... D12 Seriële interfacesSPI & I²C JP4: Selectie van het signaal op pin X van de SPI-connector SV12 SV9 naar SV12: SPI-interface (3,3 V/5 V) of I²C-interface Uitgangen voor externe apparaten SV1, SV7: Geschakelde uitgang (maximaal +24 V/160 mA, extern aangesloten) SV2: 2x13 pinnen voor aansluiting van externe modules 3x3 LED matrix(9 rode LED's) SV3: Kolommen van de 3x3 LED matrix (uitgangen D6 ... D8) JP1: Verbinding van de rijen met de GPIO's D3 ... D5 Software MCCABLib library Controle van hardware componenten (schakelaars, knoppen, LED's, 3x3 LED matrix, buzzer) op het MCCAB Training Board Werktemperatuur Tot +40 °C Afmetingen 100 x 100 x 20 mm Specificaties (Arduino Nano) Microcontroller ATmega328P Architectuur AVR Spanning 5 V Flash memory 32 KB, waarvan 2 KB gebruikt door de bootloader SRAM 2 KB Kloksnelheid 16 MHz Analoge IN Pinnen 8 EEPROM 1 KB DC stroom per I/O-pin 40 mA op één I/O-pin, totaal maximaal 200 mA op alle pinnen samen Ingangsspanning 7-12 V Digitale I/O-pinnen 22 (waarvan 6 PWM) PWM Uitgangen 6 Stroomverbruik 19 mA Afmetingen 18 x 45 mm Gewicht 7 g Inbegrepen 1x Elektor Arduino Nano Training Board MCCAB 1x Arduino Nano

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Get Cracking with the Arduino Nano V3, Nano Every, and Nano 33 IoT The seven chapters in this book serve as the first step for novices and microcontroller enthusiasts wishing to make a head start in Arduino programming. The first chapter introduces the Arduino platform, ecosystem, and existing varieties of Arduino Nano boards. It also teaches how to install various tools needed to get started with Arduino Programming. The second chapter kicks off with electronic circuit building and programming around your Arduino. The third chapter explores various buses and analog inputs. In the fourth chapter, you get acquainted with the concept of pulse width modulation (PWM) and working with unipolar stepper motors. In the fifth chapter, you are sure to learn about creating beautiful graphics and basic but useful animation with the aid of an external display. The sixth chapter introduces the readers to the concept of I/O devices such as sensors and the piezo buzzer, exploring their methods of interfacing and programming with the Arduino Nano. The last chapter explores another member of Arduino Nano family, Arduino Nano 33 IoT with its highly interesting capabilities. This chapter employs and deepens many concepts learned from previous chapters to create interesting applications for the vast world of the Internet of Things. The entire book follows a step-by-step approach to explain concepts and the operation of things. Each concept is invariably followed by a to-the-point circuit diagram and code examples. Next come detailed explanations of the syntax and the logic used. By closely following the concepts, you will become comfortable with circuit building, Arduino programming, the workings of the code examples, and the circuit diagrams presented. The book also has plenty of references to external resources wherever needed. An archive file (.zip) comprising the software examples and Fritzing-style circuit diagrams discussed in the book may be downloaded free of charge below.

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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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For Raspberry Pi, ESP32 and nRF52 with Python, Arduino and Zephyr Bluetooth Low Energy (BLE) radio chips are ubiquitous from Raspberry Pi to light bulbs. BLE is an elaborate technology with a comprehensive specification, but the basics are quite accessible. A progressive and systematic approach will lead you far in mastering this wireless communication technique, which is essential for working in low power scenarios. In this book, you’ll learn how to: Discover BLE devices in the neighborhood by listening to their advertisements. Create your own BLE devices advertising data. Connect to BLE devices such as heart rate monitors and proximity reporters. Create secure connections to BLE devices with encryption and authentication. Understand BLE service and profile specifications and implement them. Reverse engineer a BLE device with a proprietary implementation and control it with your own software. Make your BLE devices use as little power as possible. This book shows you the ropes of BLE programming with Python and the Bleak library on a Raspberry Pi or PC, with C++ and NimBLE-Arduino on Espressif’s ESP32 development boards, and with C on one of the development boards supported by the Zephyr real-time operating system, such as Nordic Semiconductor's nRF52 boards. Starting with a very little amount of theory, you’ll develop code right from the beginning. After you’ve completed this book, you’ll know enough to create your own BLE applications.

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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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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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For Raspberry Pi, ESP32 and nRF52 with Python, Arduino and Zephyr Bluetooth Low Energy (BLE) radio chips are ubiquitous from Raspberry Pi to light bulbs. BLE is an elaborate technology with a comprehensive specification, but the basics are quite accessible. A progressive and systematic approach will lead you far in mastering this wireless communication technique, which is essential for working in low power scenarios. In this book, you’ll learn how to: Discover BLE devices in the neighborhood by listening to their advertisements. Create your own BLE devices advertising data. Connect to BLE devices such as heart rate monitors and proximity reporters. Create secure connections to BLE devices with encryption and authentication. Understand BLE service and profile specifications and implement them. Reverse engineer a BLE device with a proprietary implementation and control it with your own software. Make your BLE devices use as little power as possible. This book shows you the ropes of BLE programming with Python and the Bleak library on a Raspberry Pi or PC, with C++ and NimBLE-Arduino on Espressif’s ESP32 development boards, and with C on one of the development boards supported by the Zephyr real-time operating system, such as Nordic Semiconductor's nRF52 boards. Starting with a very little amount of theory, you’ll develop code right from the beginning. After you’ve completed this book, you’ll know enough to create your own BLE applications.

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