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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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"SensorTile.box" ist eine tragbare Multisensor-Leiterplatte, die in einer Kunststoffbox untergebracht ist und von STMicroelectronics entwickelt wurde. Es ist mit einem leistungsstarken 32-Bit-ARM-Cortex-M4-Prozessor mit DSP und FPU sowie verschiedenen Sensormodulen wie Beschleunigungsmesser, Gyroskop, Temperatursensor, Feuchtigkeitssensor, Atmosphärendrucksensor, Mikrofon usw. ausgestattet. SensorTile.box ist gebrauchsfertig mit drahtloser IoT- und Bluetooth-Konnektivität, die problemlos mit einem iOS- oder Android-kompatiblen Smartphone verwendet werden kann. Vorkenntnisse sind nicht nötig. Die SensorTile.box wird mit einem langlebigen Akku geliefert und der Benutzer muss den Akku nur an die Platine anstecken, um die Box zu verwenden. Verbaute Sensoren Temperatur 3-Achsen-Beschleunigungssensor 3-Achsen-Magnetometer 3-Achsen-Beschleunigung & Gyro (6-Achsen-Trägheit) Feuchtigkeit Höhenmesser/Druck Mikrofon Verbaute Peripheriegeräte Bluetooth Li-Ionen-Ladegerät DC-DC-Wandler 500 mAh Li-Ion Akku

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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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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

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Entwickeln Sie Arm Cortex-M7-basierte Audio-, DSP- und Motorsteuerungsprojekte Das Herzstück des MIMXRT1010-Entwicklungskits von NXP Semiconductors ist die i.MX RT1010 Crossover-MCU mit einem Arm Cortex-M7-Kern, der in der Lage ist, strom- und speicherhungrige DSP-Anwendungen auszuführen. Die beliebte MCUXpresso IDE ist der Schlüssel zur Erstellung von Software für das Kit, während ein leistungsstarkes SDK zur Verfügung gestellt wird, um die Zeit und den Aufwand für die Programmentwicklung zu reduzieren. Das Dev-Kit bietet mit seinen Audio-CODECs, der 4-Wege-Kopfhörerbuchse, dem Anschluss für externe Lautsprecher, dem Mikrofon und der Arduino-Schnittstelle hervorragende Anschlussmöglichkeiten. Praktischerweise werden mit dem Kit mehrere On-Board-Debug-Sonden geliefert, mit denen Sie Ihre Programme durch direkte Kommunikation mit der MCU debuggen können. Mit Hilfe des Debuggers können Sie in Einzelschritten durch ein Programm gehen, Haltepunkte einfügen, Variablen anzeigen und ändern usw. Unter Verwendung der MCUXpresso IDE und des SDK werden in diesem Buch viele funktionierende und getestete Projekte auf der Grundlage von Bauteilen, Modulen und Technologien entwickelt, darunter: LED und LCDs ADC I²C-Projekte SPI-Projekte UART-Projekte/li> Motorsteuerung Audio und digitale Audioverarbeitung (DSP) Dieses Bundle enthält: Buch "Get Started with the NXP i.MX RT1010 Development Kit" (Einzelpreis: 34,95 €) NXP i.MX RT1010 Development Kit (Einzelpreis: 49,95 €)

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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

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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

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A Beginner's Guide to AI and Edge Computing Artificial Intelligence (AI) is now part of our daily lives. With companies developing low-cost AI-powered hardware into their products, it is now becoming a reality to purchase AI accelerator hardware at comparatively very low costs. One such hardware accelerator is the Hailo module which is fully compatible with the Raspberry Pi 5. The Raspberry Pi AI Kit is a cleverly designed hardware as it bundles an M.2-based Hailo-8L accelerator with the Raspberry Pi M.2 HAT+ to offer high speed inferencing on the Raspberry Pi 5. Using the Raspberry Pi AI Kit, you can build complex AI-based vision applications, running in real-time, such as object detection, pose estimation, instance segmentation, home automation, security, robotics, and many more neural network-based applications. This book is an introduction to the Raspberry Pi AI Kit, and it is aimed to provide some help to readers who are new to the kit and wanting to run some simple AI-based visual models on their Raspberry Pi 5 computers. The book is not meant to cover the detailed process of model creation and compilation, which is done on an Ubuntu computer with massive disk space and 32 GB memory. Examples of pre-trained and custom object detection are given in the book. Two fully tested and working projects are given in the book. The first project explains how a person can be detected and how an LED can be activated after the detection, and how the detection can be acknowledged by pressing an external button. The second project illustrates how a person can be detected, and how this information can be passed to a smart phone over a Wi-Fi link, as well as how the detection can be acknowledged by sending a message from the smartphone to your Raspberry Pi 5.

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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.

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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.

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Beherrschung der Sprache und der Entwicklungsplattform Viele Menschen möchten Java lernen, aber der Einstieg ist nicht einfach, da das Programmieren mit Java mindestens zwei Dinge erfordert: die Beherrschung der Programmiersprache und der Entwicklungsumgebung. Anhand vieler Beispiele zeigt dieses Buch, wie die Sprache aufgebaut ist. Darüber hinaus wird die Eclipse-Entwicklungsumgebung als Beispiel für ein leistungsstarkes Tool zum Unterrichten der Entwicklung von Java-Programmen verwendet. In Basics, dem ersten Teil des Buches, erwerben Sie Ihre Java- und Eclipse-Grundkenntnisse. Dieser Teil legt die Programmiergrundlagen fest, gibt Ihnen einen Überblick über die Java-Technologie und zeigt Ihnen, was das Besondere an der objektorientierten Programmierung ist. Im zweiten Teil namens Java Language dreht sich alles um die Feinheiten der Java-Sprache und hier entstehen mit einer feinen Mischung aus Wissensteil und praktischen Übungen die ersten kleinen Java-Anwendungen. Java-Technologie ist sowohl der Name als auch der Schwerpunkt des dritten Teils, der Ihnen außerdem vorstellt, welche Regeln beim Programmieren zu beachten sind, was Klassenbibliotheken sind und welche Vorteile sie haben. Darüber hinaus erfahren Sie, wie man Programme testet, was Algorithmen sind und wie man sie programmiert. Der vierte Teil, Java-Projekte, ermöglicht es Ihnen, alle vorherigen Elemente in einer Anwendung mit einer grafischen Benutzeroberfläche anzuwenden. Das Projekt zeigt, wie man mit der Eclipse-Entwicklungsumgebung Stück für Stück eine größere Anwendung entwickelt. Der Anhang schließt mit einem Abschnitt über häufige Fehler, die bei der Arbeit mit Eclipse auftreten können, und einem Glossar.

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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

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