Recently, the development of a tiny chip called the ESP8266 has made it possible to interface any type of microcontroller to a Wi-Fi AP. The ESP8266 is a low-cost tiny Wi-Fi chip having fully built-in TCP/IP stack and a 32-bit microcontroller unit. This chip, produced by Shanghai based Chinese manufacturer Espressif System, is IEEE 802.11 b/g/n Wi-Fi compatible with on-chip program and data memory, and general purpose input-output ports. Several manufacturers have incorporated the ESP8266 chip in their hardware products (e.g. ESP-xx, NodeMCU etc) and offer these products as a means of connecting a microcontroller system such as the Android, PIC microcontroller or others to a Wi-Fi. The ESP8266 is a low-power chip and costs only a few Dollars.
ESP8266 and MicroPython – Coding Cool Stuff is an introduction to the ESP8266 chip and describes the features of this chip and shows how various firmware and programming languages such as the MicroPython can be uploaded to the chip. The main aim of the book is to teach the readers how to use the MicroPython programming language on ESP8266 based hardware, especially on the NodeMCU.
Several interesting and useful projects are given in the e-book (pdf) to show how to use the MicroPython in NodeMCU type ESP8266 hardware:
Project “What shall I wear today?”: You will be developing a weather information system using a NodeMCU development board together with a Text-to-Speech processor module.
Project “The Temperature and Humidity on the Cloud”: You will be developing a system that will get the ambient temperature and humidity using a sensor and then store this data on the cloud so that it can be accessed from anywhere.
Project “Remote Web Based Control”: You will be developing a system that will remotely control two LEDs connected to a NodeMCU development board using an HTTP Web Server application.
Projects with Thonny-IDE, uPyCraft-IDE, and ESP32
The 'Python' programming language has enjoyed an enormous upswing in recent years. Not least, various single-board systems such as the Raspberry Pi have contributed to its popularity. But Python has also found widespread use in other fields, such as artificial intelligence (AI) or machine learning (ML). It is obvious, therefore, to use Python or the 'MicroPython' variant for use in SoCs (Systems on Chip) as well.
Powerful controllers such as the ESP32 from Espressif Systems offer excellent performance as well as Wi-Fi and Bluetooth functionality at an affordable price. With these features, the Maker scene has been taken by storm. Compared to other controllers, the ESP32 has a significantly larger flash and SRAM memory, as well as a much higher CPU speed. Due to these characteristics, the chip is not only suitable for classic C applications, but also for programming with MicroPython.
This book introduces the application of modern one-chip systems. In addition to the technical background, the focus is on MicroPython itself. After the introduction to the language, the programming skills learned are immediately put into practice. The individual projects are suitable for use in the laboratory as well as for everyday applications. So, in addition to the actual learning effect, the focus is also on the joy of building complete and useful devices. By using laboratory breadboards, circuits of all kinds can be realized with little effort, turning the testing and debugging of the 100% homebrew projects into an instructive pleasure.
The various applications, such as weather stations, digital voltmeters, ultrasound range finders, RFID card readers or function generators, make the projects presented ideally suited for practical courses or subject and study work in the natural sciences, or in science and technology classes.
35 Touch Develop & MicroPython Projects
The BBC micro:bit is a credit sized computer based on a highly popular and high performance ARM processor. The device is designed by a group of 29 partners for use in computer education in the UK and will be given free of charge to every secondary school student in the UK.
The device is based on the Cortex-M0 processor and it measures 4 x 5 cm. It includes several important sensors and modules such as an accelerometer, magnetometer, 25 LEDs, 2 programmable push-button switches, Bluetooth connectivity, micro USB socket, 5 ring type connectors, and a 23-pin edge connector. The device can be powered from its micro USB port by connecting it to a PC, or two external AAA type batteries can be used.
This book is about the use of the BBC micro:bit computer in practical projects. The BBC micro:bit computer can be programmed using several different programming languages, such as Microsoft Block Editor, Microsoft Touch Develop, MicroPython, and JavaScript.
The book makes a brief introduction to the Touch Develop programming language and the MicroPython programming language. It then gives 35 example working and tested projects using these language. Readers who learn to program in Touch Develop and MicroPython should find it very easy to program using the Block Editor or any other languages.
The following are given for each project:
Title of the project
Description of the project
Aim of the project
Touch Develop and MicroPython program listings
Complete program listings are given for each project. In addition, working principles of the projects are described briefly in each section. Readers are encouraged to go through the projects in the order given in the book.
35 Touch Develop & MicroPython Projects
The BBC micro:bit is a credit sized computer based on a highly popular and high performance ARM processor. The device is designed by a group of 29 partners for use in computer education in the UK and will be given free of charge to every secondary school student in the UK.
The device is based on the Cortex-M0 processor and it measures 4 x 5 cm. It includes several important sensors and modules such as an accelerometer, magnetometer, 25 LEDs, 2 programmable push-button switches, Bluetooth connectivity, micro USB socket, 5 ring type connectors, and a 23-pin edge connector. The device can be powered from its micro USB port by connecting it to a PC, or two external AAA type batteries can be used.
This book is about the use of the BBC micro:bit computer in practical projects. The BBC micro:bit computer can be programmed using several different programming languages, such as Microsoft Block Editor, Microsoft Touch Develop, MicroPython, and JavaScript.
The book makes a brief introduction to the Touch Develop programming language and the MicroPython programming language. It then gives 35 example working and tested projects using these language. Readers who learn to program in Touch Develop and MicroPython should find it very easy to program using the Block Editor or any other languages.
The following are given for each project:
Title of the project
Description of the project
Aim of the project
Touch Develop and MicroPython program listings
Complete program listings are given for each project. In addition, working principles of the projects are described briefly in each section. Readers are encouraged to go through the projects in the order given in the book.
The Arduino Micro contains everything needed to support the microcontroller; simply connect it to a computer with a micro USB cable to get started. It has a form factor that enables it to be easily placed on a breadboard.
The Micro board is similar to the Arduino Leonardo in that the ATmega32U4 has built-in USB communication, eliminating the need for a secondary processor. This allows the Micro to appear to a connected computer as a mouse and keyboard, in addition to a virtual (CDC) serial / COM port.
Specifications
Microcontroller
ATmega32U4
Operating Voltage
5 V
Input Voltage
7 V - 12 V
Analog Input Pins
12
PWM Pins
7
DC I/O Pin
20
DC Current per I/O Pin
20 mA
DC Current for 3.3 V Pin
50 mA
Flash Memory
32 KB of which 4 KB used by the bootloader
SRAM
2.5 KB
EEPROM
1 KB
Clock Speed
16 MHz
LED_Builtin
13
Length
45 mm
Width
18 mm
Weight
13 g
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.
The QA403 is QuantAsylum's fourth-generation audio analyzer. The QA403 extends the functionality of the QA402 with improved noise and distortion performance, in addition to a flatter response at band edges. The compact size of the QA403 means you can take it just about anywhere.
Features
24-bit ADC/DAC
Up to 192 kS/s
Fully isolated from PC
Differential Input/Output
USB powered
Built-in Attenuator
Fast Bootup and Driverless
The QA403 is a driverless USB device, meaning it’s ready as soon as you plug it in. The software is free and it is quick and easy to move the hardware from one machine to the next. So, if you need to head to the factory to troubleshoot a problem or take the QA403 home for a work-from-home day, you can do it without hassle.
No-Cal Design
The QA403 comes with a factory calibration in its flash memory, ensuring consistent unit-to-unit performance. On your manufacturing line you can install another QA403 and be confident what you read on one unit will be very similar to the next unit. It is not expected that re-calibration will be required at regular intervals.
Measurements
Making basic measurements is quick and easy. In a few clicks you will understand the frequency response, THD(+N), gain, SNR and more of your device-under test.
Dynamic Range
The QA403 offers 8 gain ranges on the input (0 to +42 dBV in 6 steps), and 4 gain ranges on the output (-12 to +18 dBV in 10 dB steps). This ensures consistent performance over very wide ranges of input and output levels. The maximum AC input to the QA403 is +32 dBV = 40 Vrms. The maximum DC is ±40 V, and the maximum ACPEAK + DC = ±56 V.
Easy Programmability
The QA403 supports a REST interface, making it easy to automate measurements in just about any language you might anticipate. From Python to C++ to Visual Basic—if you know how to load a web page in your favorite language, you can control the QA403 remotely. Measurements are fast and responsive, usually with dozens of commands being processed per second.
Isolated and USB Powered
The QA403 is isolated from the PC, meaning you are measuring your DUT and not chasing some phantom ground loop. The QA403 is USB powered, like nearly all our instruments. If you are setting up remotely, throw a powered hub in your bag and your entire test setup can be running with a minimum of cables.
Goodbye Soundcard, Hello QA403
Tired of trying to make a soundcard work? The calibration nightmare? The lack of gain stages? The limited drive? Are you tired of dealing with the fixed input ranges? The worry that you might destroy it with too much DC or AC? Tired of the ground loops? That’s why QuantAsylum built the QA403.
Specifications
Dimensions
177 x 44 x 97 mm (W x H x D)
Weight
435 g
Case Material
Powder-coating Aluminum (2 mm thick front panel, 1.6 mm thick top/bottom)
Downloads
Datasheet
Manual
GitHub
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.
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.
Arduinonext is an initiative powered by an electronics and microcontrollers specialist team aiming to help all those who are entering in the technology world, using the well-known Arduino platform to take the next step in electronics.
We strive to bring you the necessary knowledge and experience for developing your own electronics applications; interacting with environment; measuring physical parameters; processing them and performing the necessary control actions.
This is the first title in the 'Hands-On' series in which Arduino platform co-founder, David Cuartielles, introduces board programming, and demonstrates the making of an 8-bit Sound Generator.
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
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
