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.

Lis Plus Moins

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.

Lis Plus Moins

Il n'existe que quelques séries de 50 projets passionnés pour initier la programmation JAL et maîtriser les microcontrôleurs PIC. La simple LED clignotante à la vision artificielle, l'alarme laser à la souris USB taquine, l'indicateur de niveau capacitif et le gradateur de lumière, ces projets s'appuient sur des consignes et des distrayants. Il est nécessaire d'étudier les techniques de base utilisées pour communiquer la commande d'un relais, et les caractéristiques des signaux utilisés par différents capteurs (constitués par l'exemple d'un codeur rotatif), la communication par bus I²C, SPI, RS232, USB , affiches de 7 segments et avec le bus CAN. On y apprend à pratiquer la commande de largeur d'impulsion, la conversion analogique-numérique et inversement, le traitement des interruptions, et bien des astuces. L'auteur doit être enthousiaste et désireux de progresser dans son appréciation. Abordez-le comme une récréatif et pédagogique : assemblez et utilisez les projets proposés. Les explications claires, les schémas et les photographies servent à révéler une activité enrichissante et captivante. Considérez la conception, le style et les détails du projet. A l'aide de microcontrôleurs et de l'utilisation de compositions et de projets, l'exploitation des techniques est pleinement expliquée. Avec l'augmentation de l'apprentissage après la spécification, l'auteur continue avec les contrôles : le 16f877A, le 18f4455, et le18f4685. N'hésitez pas à nous contacter pour plus d'informations sur le projet et à utiliser l'adaptateur pour garantir une bonne utilisation. Vous apprendrez d'ailleurs comment transposer vos programmes d'un microcontrôleur à Utre. La procédure de transfert du programme du microcontrôleur via le programmateur Wisp648 est la procédure de test finale. C'est aussi un guide de référence, comprenant des sources d'informations : une explication de la durée de la programmation des JAL et de l'utilisation des bibliothèques d'extension. Les outils de programmation (environnement de développement JALedit/XWisp, bibliothèques JAL, programmes décrits) sont téléchargeables gratuitement (voir ci-dessous). L'index permet de retrouver rapidement un projet et donc les principales commandes dans le contexte. En tant qu'expert, vous êtes le guide principal !

Lis Plus Moins

Lancé en mars 2012, plus les 30 millions d'exemples nanométriques du Raspberry Pi exposés. Il s’agit d’une contribution à la révolution des technologies de l’information et d’un grand stimulant pour le développement du monde de l’électronique. Le succès de la « tarte à la framboise » (traduction littérale de Raspberry Pie) est le résultat de l'industrie micro-électronique de transformation des produits. Eben Upton, son créateur, âme à l'origine, les acheteurs étaient presque tous des makers , adultes en général. Cependant la plupart d'entre eux étaient également des ingénieurs professionnels. Rapidité, les gens sont responsables de leurs activités personnelles lors de l'utilisation du Raspberry Pi avec une plateforme informatique stable, et ils sont également adoptés pour leur métier. La Fondation Raspberry Pi édite un magazine édité par la communauté Raspberry Pi : le MagPi (en anglais). Le magazine aborde les passions selon la nature du numérique nano-ordonné et global. Il contient des bancs d'essai de nouveaux produits, de nombreux tutoriels et un grand nombre de projets. Les membres de la communauté Raspberry Pi participent à leur expérience. La maison d'édition Elektor s'associe à la Fondation Raspberry Pi pour la publication dans le magazine français MagPi. Il est conçu pour assembler 84 projets publics du MagPi en développant l'utilisation du Raspberry Pi et son inspiration. Grâce à la taille fine et aux possibilités du Raspberry Pi, les créateurs du monde sont fiers des idées des plus folles. Partez en voyage dans un monde où est faisable ! Le Raspberry Pi à toutes les sauces pour ? s'inspirateur des projets réalisés par les membres de la communauté dénicher des utilisations inouïes découvrir des accessoires et technologies diverses entrer dans une communauté intégrée et active de Raspberry Pi

Lis Plus Moins

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

Lis Plus Moins

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.

Lis Plus Moins