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| arduino machine vision: TinyML Pete Warden, Daniel Situnayake, 2019-12-16 Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size |
| arduino machine vision: Intelligent Learning for Computer Vision Harish Sharma, Mukesh Saraswat, Sandeep Kumar, Jagdish Chand Bansal, 2021-05-19 This book is a collection of selected papers presented at the First Congress on Intelligent Systems (CIS 2020), held in New Delhi, India, during September 5–6, 2020. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers selected papers in the area of computer vision. This book covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture in dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the productivity in agricultural domain. |
| arduino machine vision: Arduino Computer Vision Programming Ozen Ozkaya, Giray Yillikci, 2015-08-24 Design and develop real-world computer vision applications with the powerful combination of OpenCV and ArduinoAbout This Book- Load and run the applications in Arduino to develop intelligent systems- Design and implement detection, classification, and recognition algorithms for computer vision applications- Explore the best practices of computer vision development including state of the art algorithms and hands-on example projectsWho This Book Is ForIf you are a consumer and hobbyist who has familiarity with the basics of Arduino and wish to learn computer vision programming with Arduino to create intelligent systems, then this book is for you. No knowledge of computer vision programming is required.What You Will Learn- Understand the design blocks and the generic architecture of computer vision systems by learning an efficient approach to modelling- Build up your skill set of computer vision system design using OpenCV by learning fundamentals, camera selection, data acquisition, filtering, processing, feature extraction and recognition for any specific problem- Learn the wired and wireless communication capabilities of Arduino and comprehensive best practices to connect it to the OpenCV environment in a platform-independent way- Discover how to use Arduino to elegantly interact with real life via physical actions- Solidify everything you've learnt by designing and building a computer vision-enabled practical robot from scratchIn detailsMost technologies are developed with an inspiration of human capabilities. Most of the time, the hardest to implement capability is vision. Development of highly capable computer vision applications in an easy way requires a generic approach. In this approach, Arduino is a perfect tool for interaction with the real world. Moreover, the combination of OpenCV and Arduino boosts the level and quality of practical computer vision applications.Computer vision is the next level of sensing the environment. The purpose of this book is to teach you how to develop Arduino-supported computer vision systems that can interact with real life by seeing it.This book will combine the powers of Arduino and computer vision in a generalized, well-defined, and applicable way. The practices and approaches in the book can be used for any related problems and on any platforms. At the end of the book, you should be able to solve any types of real life vision problems with all its components by using the presented approach. Each component will extend your vision with the best practices on the topic.In each chapter, you will find interesting real life practical application examples about the topics in the chapter. To make it grounded, we will build a vision-enabled robot step by step towards the end of the book. You will observe that, even though the contexts of the problems are very different, the approaches to solve them are the same and very easy!Style and approachThis book is a step-by-step guide that explains each topic sequentially by using best practices and useful tips to build computer-vision applications with OpenCV and Arduino. All the information in the book is combined in a real life all-in-one example application. |
| arduino machine vision: Image Processing, Computer Vision, and Pattern Recognition and Information and Knowledge Engineering Leonidas Deligiannidis, Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, Soheyla Amirian, Hamid R. Arabnia, 2025-05-19 This book constitutes the proceedings of the 28th International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2024, and the 23rd International Conference on Information and Knowledge Engineering, IKE 2024, held as part of the 2024 World Congress in Computer Science, Computer Engineering and Applied Computing, in Las Vegas, USA, during July 22 to July 25, 2024. The 19 IPCV 2024 papers included in these proceedings were carefully reviewed and selected from 98 submissions. IKE 2024 received 40 submissions and accepted 10 papers for inclusion in the proceedings. The papers have been organized in topical sections as follows: Image processing, computer vision and pattern recognition; image processing, computer vision and pattern recognition - detection methods; and information and knowledge engineering. |
| arduino machine vision: Exploring Arduino Jeremy Blum, 2019-10-24 The bestselling beginner Arduino guide, updated with new projects! Exploring Arduino makes electrical engineering and embedded software accessible. Learn step by step everything you need to know about electrical engineering, programming, and human-computer interaction through a series of increasingly complex projects. Arduino guru Jeremy Blum walks you through each build, providing code snippets and schematics that will remain useful for future projects. Projects are accompanied by downloadable source code, tips and tricks, and video tutorials to help you master Arduino. You'll gain the skills you need to develop your own microcontroller projects! This new 2nd edition has been updated to cover the rapidly-expanding Arduino ecosystem, and includes new full-color graphics for easier reference. Servo motors and stepper motors are covered in richer detail, and you'll find more excerpts about technical details behind the topics covered in the book. Wireless connectivity and the Internet-of-Things are now more prominently featured in the advanced projects to reflect Arduino's growing capabilities. You'll learn how Arduino compares to its competition, and how to determine which board is right for your project. If you're ready to start creating, this book is your ultimate guide! Get up to date on the evolving Arduino hardware, software, and capabilities Build projects that interface with other devices—wirelessly! Learn the basics of electrical engineering and programming Access downloadable materials and source code for every project Whether you're a first-timer just starting out in electronics, or a pro looking to mock-up more complex builds, Arduino is a fantastic tool for building a variety of devices. This book offers a comprehensive tour of the hardware itself, plus in-depth introduction to the various peripherals, tools, and techniques used to turn your little Arduino device into something useful, artistic, and educational. Exploring Arduino is your roadmap to adventure—start your journey today! |
| arduino machine vision: Getting Started with Arduino Massimo Banzi, 2011-09-06 Arduino is the open-source electronics prototyping platform that’s taken the design and hobbyist world by storm. This thorough introduction, updated for Arduino 1.0, gives you lots of ideas for projects and helps you work with them right away. From getting organized to putting the final touches on your prototype, all the information you need is here! Inside, you’ll learn about: Interaction design and physical computing The Arduino hardware and software development environment Basics of electricity and electronics Prototyping on a solderless breadboard Drawing a schematic diagram Getting started with Arduino is a snap. To use the introductory examples in this guide, all you need an Arduino Uno or earlier model, along with USB A-B cable and an LED. The easy-to-use Arduino development environment is free to download. Join hundreds of thousands of hobbyists who have discovered this incredible (and educational) platform. Written by the co-founder of the Arduino project, Getting Started with Arduino gets you in on all the fun! |
| arduino machine vision: Computer Vision and Robotics Praveen Kumar Shukla, Abhishek Bhatt, Himanshu Mittal, Andries Engelbrecht, 2025-06-28 This book consists of a collection of the high-quality research articles in the field of computer vision and robotics which are presented at the International Conference on Computer Vision and Robotics (CVR 2024), organized by Symbiosis Skills and Professional University, Pune, Maharashtra, India, during 25–26 May 2024. The book discusses applications of computer vision and robotics in the fields like medical science, defence, and smart city planning. The book presents recent works from researchers, academicians, industry, and policy makers. |
| arduino machine vision: Programming Computer Vision with Python Jan Erik Solem, 2012-06-19 If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. You’ll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python. Programming Computer Vision with Python explains computer vision in broad terms that won’t bog you down in theory. You get complete code samples with explanations on how to reproduce and build upon each example, along with exercises to help you apply what you’ve learned. This book is ideal for students, researchers, and enthusiasts with basic programming and standard mathematical skills. Learn techniques used in robot navigation, medical image analysis, and other computer vision applications Work with image mappings and transforms, such as texture warping and panorama creation Compute 3D reconstructions from several images of the same scene Organize images based on similarity or content, using clustering methods Build efficient image retrieval techniques to search for images based on visual content Use algorithms to classify image content and recognize objects Access the popular OpenCV library through a Python interface |
| arduino machine vision: Embedded Machine Learning with Microcontrollers Cem Ünsalan, Berkan Höke, Eren Atmaca, 2024-10-24 This textbook introduces basic embedded machine learning methods by exploring practical applications on STM32 development boards. Covering traditional and neural network-based machine learning methods implemented on microcontrollers, the text is designed for use in courses on microcontrollers, microprocessor systems, and embedded systems. Following the learning by doing approach, the book will enable students to grasp embedded machine learning concepts through real-world examples that will provide them with the design and implementation skills needed for a competitive job market. By utilizing a programming environment that enables students to reach and modify low-level microcontroller properties, the material allows for more control of the developed system. Students will be guided in implementing machine learning methods to be deployed and tested on microcontrollers throughout the book, with the theory behind the implemented methods also emphasized. Sample codes and course slides are available for readers and instructors, and a solutions manual is available to instructors. The book will also be an ideal reference for practicing engineers and electronics hobbyists. |
| arduino machine vision: Machine Vision and Augmented Intelligence Koushlendra Kumar Singh, Manish Kumar Bajpai, Akbar Sheikh Akbari, 2023-04-30 This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2022). The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the book. The book encompasses all industrial and non-industrial applications. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, image processing, and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in health care, brain-computer interface, cybersecurity, social network analysis, and natural language processing. |
| arduino machine vision: Arduino in Action Jordan Hochenbaum, Joshua Noble, Martin Evans, 2013-05-29 Summary Arduino in Action is a hands-on guide to prototyping and building electronics using the Arduino platform. Suitable for both beginners and advanced users, this easy-to-follow book begins with the basics and then systematically guides you through projects ranging from your first blinking LED through connecting Arduino to devices like game controllers or your iPhone. About the Technology Arduino is an open source do-it-yourself electronics platform that supports a mind-boggling collection of sensors and actuators you can use to build anything you can imagine. Even if you've never attempted a hardware project, this easy-to-follow book will guide you from your first blinking LED through connecting Arduino to your iPhone. About this Book Arduino in Action is a hands-on guide to prototyping and building DIY electronics. You'll start with the basics—unpacking your board and using a simple program to make something happen. Then, you'l attempt progressively more complex projects as you connect Arduino to motors, LCD displays, Wi-Fi, GPS, and Bluetooth. You'll explore input/output sensors, including ultrasound, infrared, and light, and then use them for tasks like robotic obstacle avoidance. Arduino programs look a lot like C or C++, so some programming skill is helpful. What's Inside Getting started with Arduino—no experience required! Writing programs for Arduino Sensing and responding to events Robots, flying vehicles, Twitter machines, LCD displays, and more! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Authors Martin Evans is a professional developer, a lifelong electronics enthusiast, and the creator of an Arduino-based underwater ROV. Joshua Noble is an author and creative technologist who works with smart spaces. Jordan Hochenbaum uses Arduino to explore musical expression and creative interaction. Table of Contents Part 1 Getting started Chapter 1 Hello Arduino Chapter 2 Digital input and output Chapter 3 Simple projects: input and output Part 2 Putting Arduino to work Chapter 4 Extending Arduino Chapter 5 Arduino in motion Chapter 6 Object detection Chapter 7 LCD displays Chapter 8 Communications Chapter 9 Game on Chapter 10 Integrating the Arduino with iOS Chapter 11 Making wearables Chapter 12 Adding shields Chapter 13 Software integration |
| arduino machine vision: Machine Vision for Industry 4.0 Roshani Raut, Salahddine Krit, Prasenjit Chatterjee, 2022-03-22 This book discusses the use of machine vision and technologies in specific engineering case studies and focuses on how machine vision techniques are impacting every step of industrial processes and how smart sensors and cognitive big data analytics are supporting the automation processes in Industry 4.0 applications. Industry 4.0, the Fourth Industrial Revolution, combines traditional manufacturing with automation and data exchange. Machine vision is used in the industry for reliable product inspections, quality control, and data capture solutions. It combines different technologies to provide important information from the acquisition and analysis of images for robot-based inspection and guidance. Features Presents a comprehensive guide on how to use machine vision for Industry 4.0 applications, such as analysis of images for automated inspections, object detection, object tracking, and more Includes case studies of Robotics Internet of Things with its current and future applications in healthcare, agriculture, and transportation Highlights the inclusion of impaired people in the industry, for example, an intelligent assistant that helps deaf-mute individuals to transmit instructions and warnings in a manufacturing process Examines the significant technological advancements in machine vision for Industrial Internet of Things and explores the commercial benefits using real-world applications from healthcare to transportation Discusses a conceptual framework of machine vision for various industrial applications The book addresses scientific aspects for a wider audience such as senior and junior engineers, undergraduate and postgraduate students, researchers, and anyone interested in the trends, development, and opportunities for machine vision for Industry 4.0 applications. |
| arduino machine vision: Machine Learning Hybridization and Optimization for Intelligent Applications Tanvir Habib Sardar, Bishwajeet Kumar Pandey, 2024-10-28 This book discusses state-of-the-art reviews of the existing machine learning techniques and algorithms including hybridizations and optimizations. It covers applications of machine learning via artificial intelligence (AI) prediction tools, discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, pattern recognition approaches to functional magnetic resonance imaging, image and speech recognition, automatic language translation, medical diagnostic, stock market prediction, traffic prediction, and product automation. Features: • Focuses on hybridization and optimization of machine learning techniques. • Reviews supervised, unsupervised, and reinforcement learning using case study-based applications. • Covers the latest machine learning applications in as diverse domains as the Internet of Things, data science, cloud computing, and distributed and parallel computing. • Explains computing models using real-world examples and dataset-based experiments. • Includes case study-based explanations and usage for machine learning technologies and applications. This book is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering. |
| arduino machine vision: Innovations in Computational Intelligence and Computer Vision Satyabrata Roy, Deepak Sinwar, Nilanjan Dey, Thinagaran Perumal, João Manuel R. S. Tavares, 2023-10-12 This book presents high-quality, peer-reviewed papers from the International Conference on “Innovations in Computational Intelligence and Computer Vision (ICICV 2022),” hosted by Manipal University Jaipur, Rajasthan, India, on 24–25 November 2022. The book includes a collection of innovative ideas from researchers, scientists, academics, industry professionals and students. The book covers a variety of topics, such as artificial intelligence and computer vision, image processing and video analysis, applications and services of artificial intelligence and computer vision, interdisciplinary areas combining artificial intelligence and computer vision, and other innovative practices. |
| arduino machine vision: Arduino Robotics John-David Warren, Josh Adams, Harald Molle, 2011-10-08 This book will show you how to use your Arduino to control a variety of different robots, while providing step-by-step instructions on the entire robot building process. You'll learn Arduino basics as well as the characteristics of different types of motors used in robotics. You also discover controller methods and failsafe methods, and learn how to apply them to your project. The book starts with basic robots and moves into more complex projects, including a GPS-enabled robot, a robotic lawn mower, a fighting bot, and even a DIY Segway-clone. Introduction to the Arduino and other components needed for robotics Learn how to build motor controllers Build bots from simple line-following and bump-sensor bots to more complex robots that can mow your lawn, do battle, or even take you for a ride Please note: the print version of this title is black & white; the eBook is full color. |
| arduino machine vision: Modern Intelligent Instruments - Theory and Application Changjian Deng, 2020-07-02 His text book serves as a guide for readers learning about the technical design of intelligent instruments, that is, instruments designed to collect information about the performance of other electronic devices and systems. The book introduces the readers to the concept of intelligent instrumentation and guides them on more advanced aspects of the subject including signal detection and analysis, data processing, performance analysis and data communication. Practical examples are also provided in the latter half of the book to blend the theoretical concepts with applied knowledge for the benefit of the reader. Key features: - Features 10 chapters covering key topics related to intelligent instrument design and operation - Provides theoretical knowledge of fundamental concepts - Provides practical examples of working instrument models (online equipment monitoring system and a mobile robot) - Provides notes on the use of packages such as MATLAB, ARGUINO and Proteus to develop intelligent instruments - Presents information in a simple, easy-to-understand format which is reader friendly - Presents handy chapter notes and references for the reader Modern Intelligent Instruments - Theory and Application is a useful textbook for engineering students and technical apprentices learning about instrumentation and PCB design and testing. |
| arduino machine vision: Beginning Robotics with Raspberry Pi and Arduino Jeff Cicolani, 2018-04-24 Learn how to use a Raspberry Pi in conjunction with an Arduino to build a basic robot with advanced capabilities. Getting started in robotics does not have to be difficult. This book is an insightful and rewarding introduction to robotics and a catalyst for further directed study. You'll be led step by step through the process of building a robot that uses the power of a Linux based computer paired with the simplicity of Arduino. You’ll learn why the Raspberry Pi is a great choice for a robotics platform; its strengths as well as its shortcomings; how to overcome these limitations by implementing an Arduino; and the basics of the Python programming language as well as some of the more powerful features. With the Raspberry Pi you can give your project the power of a Linux computer, while Arduino makes interacting with sensors and motors very easy. These two boards are complimentary in their functions; where one falters the other performs admirably. The book also includes references to other great works to help further your growth in the exciting, and now accessible, field of smart robotics. As a bonus, the final chapter of the book demonstrates the real power of the Raspberry Pi by implementing a basic vision system. Using OpenCV and a standard USB web cam, you will build a robot that can chase a ball. What You'll Learn Install Raspbian, the operating system that drives the Raspberry Pi Drive motors through an I2C motor controller Read data through sensors attached to an Arduino Who This Book Is For Hobbyists and students looking for a rapid start in robotics. It assumes no technical background. Readers are guided to pursue the areas that interest them in more detail as they learn. |
| arduino machine vision: Computer Vision Pancham Shukla, Rajanikanth Aluvalu, Shilpa Gite, Uma Maheswari, 2023-02-20 This book focuses on the latest developments in the fields of visual AI, image processing and computer vision. It shows research in basic techniques like image pre-processing, feature extraction, and enhancement, along with applications in biometrics, healthcare, neuroscience and forensics. The book highlights algorithms, processes, novel architectures and results underlying machine intelligence with detailed execution flow of models. |
| arduino machine vision: Computer Vision and Machine Learning in Agriculture, Volume 2 Mohammad Shorif Uddin, Jagdish Chand Bansal, 2022-03-13 This book is as an extension of previous book “Computer Vision and Machine Learning in Agriculture” for academicians, researchers, and professionals interested in solving the problems of agricultural plants and products for boosting production by rendering the advanced machine learning including deep learning tools and techniques to computer vision algorithms. The book contains 15 chapters. The first three chapters are devoted to crops harvesting, weed, and multi-class crops detection with the help of robots and UAVs through machine learning and deep learning algorithms for smart agriculture. Next, two chapters describe agricultural data retrievals and data collections. Chapters 6, 7, 8 and 9 focuses on yield estimation, crop maturity detection, agri-food product quality assessment, and medicinal plant recognition, respectively. The remaining six chapters concentrates on optimized disease recognition through computer vision-based machine and deep learning strategies. |
| arduino machine vision: Arduino Projects For Dummies Brock Craft, 2013-06-05 Discover all the amazing things you can do with Arduino Arduino is a programmable circuit board that is being used by everyone from scientists, programmers, and hardware hackers to artists, designers, hobbyists, and engineers in order to add interactivity to objects and projects and experiment with programming and electronics. This easy-to-understand book is an ideal place to start if you are interested in learning more about Arduino's vast capabilities. Featuring an array of cool projects, this Arduino beginner guide walks you through every step of each of the featured projects so that you can acquire a clear understanding of the different aspects of the Arduino board. Introduces Arduino basics to provide you with a solid foundation of understanding before you tackle your first project Features a variety of fun projects that show you how to do everything from automating your garden's watering system to constructing a keypad entry system, installing a tweeting cat flap, building a robot car, and much more Provides an easy, hands-on approach to learning more about electronics, programming, and interaction design for Makers of all ages Arduino Projects For Dummies is your guide to turning everyday electronics and plain old projects into incredible innovations. Get Connected! To find out more about Brock Craft and his recent Arduino creations, visit www.facebook.com/ArduinoProjectsForDummies |
| arduino machine vision: C Programming for Arduino Julien Bayle, 2013-05-17 Written as a practical Packt book brimming with engaging examples, C Programming for Arduino will help those new to the amazing open source electronic platform so that they can start developing some great projects from the very start.This book is great for people who want to learn how to design & build their own electronic devices. From interaction design art school students to the do-it-yourself hobbyist, or even simply people who want to learn electronics, this book will help by adding a new way to design autonomous but connected devices. |
| arduino machine vision: Applications in Electronics Pervading Industry, Environment and Society Sergio Saponara, Alessandro De Gloria, Francesco Bellotti, 2021-06-04 This book features the manuscripts accepted for the Special Issue “Applications in Electronics Pervading Industry, Environment and Society—Sensing Systems and Pervasive Intelligence” of the MDPI journal Sensors. Most of the papers come from a selection of the best papers of the 2019 edition of the “Applications in Electronics Pervading Industry, Environment and Society” (APPLEPIES) Conference, which was held in November 2019. All these papers have been significantly enhanced with novel experimental results. The papers give an overview of the trends in research and development activities concerning the pervasive application of electronics in industry, the environment, and society. The focus of these papers is on cyber physical systems (CPS), with research proposals for new sensor acquisition and ADC (analog to digital converter) methods, high-speed communication systems, cybersecurity, big data management, and data processing including emerging machine learning techniques. Physical implementation aspects are discussed as well as the trade-off found between functional performance and hardware/system costs. |
| arduino machine vision: Machine Intelligence for Research and Innovations Om Prakash Verma, Lipo Wang, Rajesh Kumar, Anupam Yadav, 2024-03-02 The book is a collection of high-quality peer-reviewed research papers presented in the First International Conference on MAchine inTelligence for Research & Innovations (MAiTRI 2023 Summit), held at Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Panjab, India during 1 – 3 September 2023. This book focuses on recent advancement in the theory and realization of machine intelligence (MI) and their tools and growing applications such as machine learning, deep learning, quantum machine learning, real-time computer vision, pattern recognition, natural language processing, statistical modelling, autonomous vehicles, human interfaces, computational intelligence, and robotics. |
| arduino machine vision: Unity in Embedded System Design and Robotics Ata Jahangir Moshayedi, Amin Kolahdooz, Liefa Liao, 2022-07-29 The first book of its kind, Unity in Embedded System Design and Robotics provides a step-by-step guide to Unity for embedded system design and robotics. It is an open gateway for anyone who wants to learn Unity through real projects and examples as well as a particularly useful aid for both professionals and students in the fields of embedded system design and robotics. Each chapter contains a unique project. The user is guided through the different windows and sections of Unity every step of the way. The book also includes projects that connect Unity to Arduino and Raspberry Pi, which will help readers better understand various Unity applications in the real world. |
| arduino machine vision: Scaling the Smart City Nicole Gardner, 2024-07-03 Scaling the Smart City: The Design and Ethics of Urban Technology engages with the smart city as a problem of scale. It disentangles the smart city from its corporate and technocratic strong hold by presenting an accessible design framework that productively aligns philosophical thinking on technology with foundational technical understandings of urban technology and smart system design. Scaling the Smart City: The Design and Ethics of Urban Technology complements and mediates between critical social theory perspectives of the smart city and technically comprehensive case studies. It examines these case examples and critiques design prototypes by threading the overarching principles of the smart city through urban, spatial, and personal scales. The knowledge and know-how to design and create urban technologies and smart cities is steadily moving from a niche field to a core industry competency. Scaling the Smart City: The Design and Ethics of Urban Technology outlines a unique cross scalar design framework, developed to teach smart cities design to designers and engineers. It unpacks the backbox of smart city initiatives and demystifies physical computing system design concepts. The book's analysis of real-world case examples and design prototypes aims to demonstrate how design thinking and practice can better engage with the ethical implications of creating urban technologies and smart systems for society. It uses a clear, accessible, and instructive style of writing that synthesizes relevant scholarship and concepts to develop the reader's foundational understanding of the contemporary smart city paradigm. It also explores the ethical implications of urban technologies and smart city initiatives. This book is an invaluable resource for readers in the established fields and professions of design, architecture, urban design, and city planning as well as the emerging fields of urban technology and urban interaction design. - Connects theory and practice to extend understanding of urban technologies and smart cities - Leverages real-world case examples and design prototypes to explore critical philosophical and ethical questions around the implications of technology in the urban and built environment - Provides an accessible and illustrative guide to technical principles of urban sensing and sense making apparatus foundational to the design of urban technology and smart cities - Utilizes visual iconography and diagramming to illustrate urban technology concepts, configurations, sequences, interactivity, and technical systems |
| arduino machine vision: Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era Srinivasan, A., 2022-10-21 In recent decades, there has been an increasing interest in using machine learning and, in the last few years, deep learning methods combined with other vision and image processing techniques to create systems that solve vision problems in different fields. There is a need for academicians, developers, and industry-related researchers to present, share, and explore traditional and new areas of computer vision, machine learning, deep learning, and their combinations to solve problems. The Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era is designed to serve researchers and developers by sharing original, innovative, and state-of-the-art algorithms and architectures for applications in the areas of computer vision, image processing, biometrics, virtual and augmented reality, and more. It integrates the knowledge of the growing international community of researchers working on the application of machine learning and deep learning methods in vision and robotics. Covering topics such as brain tumor detection, heart disease prediction, and medical image detection, this premier reference source is an exceptional resource for medical professionals, faculty and students of higher education, business leaders and managers, librarians, government officials, researchers, and academicians. |
| arduino machine vision: Robotics, Control and Computer Vision Hariharan Muthusamy, János Botzheim, Richi Nayak, 2023-05-25 This book presents select peer-reviewed papers from the International Conference on Robotics, Control, and Computer Vision (ICRCCV 2022). The contents focus on the latest research in the field of Robotics, their control, and computer vision in the context of robotics. The contributed papers have been arranged to give a flow to the reader. This book will be useful for students, researchers, and professionals from multidisciplinary fields such as mechanical engineering, electronics engineering, electrical engineering, computer science, and mathematics. |
| arduino machine vision: Towards new e-Infrastructure and e-Services for Developing Countries Rafik Zitouni, Amreesh Phokeer, Josiah Chavula, Ahmed Elmokashfi, Assane Gueye, Nabil Benamar, 2021-03-03 This book constitutes the thoroughly refereed proceedings of the 12th International Conference on e-Infrastructure and e-Services for Developing Countries, AFRICOMM 2020, held in Ebène City, Mauritius, in December 2020. Due to COVID-19 pandemic the conference was held virtually. The 20 full papers were carefully selected from 90 submissions. The papers are organized in four thematic sections on dynamic spectrum access and mesh networks; wireless sensing and 5G networks; software-defined networking; Internet of Things; e-services and big data; DNS resilience and performance. |
| arduino machine vision: Practical Deep Learning for Cloud, Mobile, and Edge Anirudh Koul, Siddha Ganju, Meher Kasam, 2019-10-14 Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley’s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users |
| arduino machine vision: TensorFlow 2.0 Computer Vision Cookbook Jesus Martinez, 2021-02-26 Get well versed with state-of-the-art techniques to tailor training processes and boost the performance of computer vision models using machine learning and deep learning techniques Key FeaturesDevelop, train, and use deep learning algorithms for computer vision tasks using TensorFlow 2.xDiscover practical recipes to overcome various challenges faced while building computer vision modelsEnable machines to gain a human level understanding to recognize and analyze digital images and videosBook Description Computer vision is a scientific field that enables machines to identify and process digital images and videos. This book focuses on independent recipes to help you perform various computer vision tasks using TensorFlow. The book begins by taking you through the basics of deep learning for computer vision, along with covering TensorFlow 2.x's key features, such as the Keras and tf.data.Dataset APIs. You'll then learn about the ins and outs of common computer vision tasks, such as image classification, transfer learning, image enhancing and styling, and object detection. The book also covers autoencoders in domains such as inverse image search indexes and image denoising, while offering insights into various architectures used in the recipes, such as convolutional neural networks (CNNs), region-based CNNs (R-CNNs), VGGNet, and You Only Look Once (YOLO). Moving on, you'll discover tips and tricks to solve any problems faced while building various computer vision applications. Finally, you'll delve into more advanced topics such as Generative Adversarial Networks (GANs), video processing, and AutoML, concluding with a section focused on techniques to help you boost the performance of your networks. By the end of this TensorFlow book, you'll be able to confidently tackle a wide range of computer vision problems using TensorFlow 2.x. What you will learnUnderstand how to detect objects using state-of-the-art models such as YOLOv3Use AutoML to predict gender and age from imagesSegment images using different approaches such as FCNs and generative modelsLearn how to improve your network's performance using rank-N accuracy, label smoothing, and test time augmentationEnable machines to recognize people's emotions in videos and real-time streamsAccess and reuse advanced TensorFlow Hub models to perform image classification and object detectionGenerate captions for images using CNNs and RNNsWho this book is for This book is for computer vision developers and engineers, as well as deep learning practitioners looking for go-to solutions to various problems that commonly arise in computer vision. You will discover how to employ modern machine learning (ML) techniques and deep learning architectures to perform a plethora of computer vision tasks. Basic knowledge of Python programming and computer vision is required. |
| arduino machine vision: Arduino Project Handbook Mark Geddes, 2016-06-01 Arduino Project Handbook is a beginner-friendly collection of electronics projects using the low-cost Arduino board. With just a handful of components, an Arduino, and a computer, you’ll learn to build and program everything from light shows to arcade games to an ultrasonic security system. First you’ll get set up with an introduction to the Arduino and valuable advice on tools and components. Then you can work through the book in order or just jump to projects that catch your eye. Each project includes simple instructions, colorful photos and circuit diagrams, and all necessary code. Arduino Project Handbook is a fast and fun way to get started with microcontrollers that’s perfect for beginners, hobbyists, parents, and educators. Uses the Arduino Uno board. |
| arduino machine vision: Machine Learning and Big Data Analytics Rajiv Misra, Rana Omer, Muttukrishnan Rajarajan, Bharadwaj Veeravalli, Nishtha Kesswani, Priyanka Mishra, 2023-06-06 This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the advanced Scientific Technologies, provide a correlation of multidisciplinary areas and become a point of great interest for Data Scientists, systems architects, developers, new researchers and graduate level students. This volume provides cutting-edge research from around the globe on this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers. |
| arduino machine vision: Network Evolution and Applications Vikas Kumar Jha, Bishwajeet Kumar Pandey, Ciro Rodriguez, 2022-11-14 Network Evolution and Applications provides a comprehensive, integrative, and easy approach to understanding the technologies, concepts, and milestones in the history of networking. It provides an overview of different aspects involved in the networking arena that includes the core technologies that are essential for communication and important in our day-to-day life. It throws some light on certain past networking concepts and technologies that have been revolutionary in the history of science and technology and have been highly impactful. It expands on various concepts like Artificial Intelligence, Software Defined Networking, Cloud Computing, and Internet of Things, which are very popular at present. This book focuses on the evolutions made in the world of networking. One can’t imagine the world without the Internet today; with the Internet and the present- day networking, distance doesn’t matter at all. The COVID-19 pandemic has resulted in a tough time worldwide, with global lockdown, locked homes, empty streets, stores without consumers, and offices with no or fewer staff. Thanks to the modern digital networks, the culture of work from home (WFH) or working remotely with the network/Internet connection has come to the fore, with even school and university classes going online. Although WFH is not new, the COVID-19 pandemic has given it a new look, and industries are now willfully exploring WFH to extend it in the future. The aim of this book is to present the timeline of networking to show the developments made and the milestones that were achieved due to these developments. |
| arduino machine vision: Programming Interactivity Joshua Noble, 2009-07-21 Make cool stuff. If you're a designer or artist without a lot of programming experience, this book will teach you to work with 2D and 3D graphics, sound, physical interaction, and electronic circuitry to create all sorts of interesting and compelling experiences -- online and off. Programming Interactivity explains programming and electrical engineering basics, and introduces three freely available tools created specifically for artists and designers: Processing, a Java-based programming language and environment for building projects on the desktop, Web, or mobile phones Arduino, a system that integrates a microcomputer prototyping board, IDE, and programming language for creating your own hardware and controls OpenFrameworks, a coding framework simplified for designers and artists, using the powerful C++ programming language BTW, you don't have to wait until you finish the book to actually make something. You'll get working code samples you can use right away, along with the background and technical information you need to design, program, build, and troubleshoot your own projects. The cutting edge design techniques and discussions with leading artists and designers will give you the tools and inspiration to let your imagination take flight. |
| arduino machine vision: Robotics And Automation computer science and engineering Prof. Dr. Dileep Kumar M, Dr. Uppin Chandrashekhar, S. R. Jena, Dr. Sohit Agarwal, 2025-05-03 The concept of robots may be seen as highly developed automated systems when viewed from a certain point of view. In addition, robotics may be seen as both a scientific area and a technology that has emerged from automation via the collaborative efforts of several other fields of endeavour. These are some other viewpoints about robotics. In general, an automated system requires relatively little in the way of intelligence or manipulation, yet it may be simply programmed to achieve productivity goals. This is because it is able to function without human intervention. Additionally, it is feasible for the system to do some processes more than once. Keeping in mind that the mechanical structure of an automated system often only permits it to do the one task for which it was created is an essential point to bear in mind. The capacity of a control unit to be reprogrammed is what determines the degree of flexibility that it possesses; in the majority of cases, it is simply able to adjust the timing of the actions that have been defined. Hardware is responsible for supplying the mechanical capability to carry out an operation of movement and/or manipulation that has been predetermined in advance. This capability comprises mechanical, electrical, pneumatic, and hydraulic components. Hardware is also responsible for giving the capability to carry out the operation. Because the control and operation counterpart is composed of software and electrical components, the system is able to work independently and with a degree of flexibility. This is made possible by the system's capacity to function independently. Both of these are necessary elements that make up an automated system, and they work together to accomplish their respective functions. It is necessary to consider their design and operation as separate but complementary aims in order to attain and maintain optimal performance in an automated system. This is because they are so dependent on one another that they are unable to function without one another. |
| arduino machine vision: Harnessing Automation and Machine Learning for Resource Recovery and Value Creation Kishor Kumar Sadasivuni, Nebojsa Bacanin, Jaehwan Kim, Neha B Vashisht, 2025-03-31 Harnessing Automation and Machine Learning for Resource Recovery and Value Creation: From Waste to Value provides a comprehensive understanding of how automation and machine learning technologies can be used to convert waste into valuable resources. This book gives insight in the opportunities offered by automation and machine learning technologies in waste management and how they can help address the challenges associated with waste management and to discuss the benefits and potential of automation technologies. It examines the potential of machine learning algorithms in analyzing waste management data, identifying patterns, predicting future waste generation, and optimizing waste management processes. Moreover, this book showcases case studies from different industries and regions, highlighting the revolutionary applications of automation and machine learning in waste management. This book is an indispensable resource for researchers, waste management professionals, and policymakers interested in learning more about how automation and machine learning can contribute to waste management and the creation of a sustainable future. - Provides insights into the potential of automation and machine learning in waste management inspiring readers to adopt sustainable waste management practices - Offers a comprehensive understanding of how waste management can be transformed into a profitable business by adopting innovative and sustainable solutions - Offers an opportunity to explore case studies from different industries and regions to showcase the revolutionary applications of automation and machine learning in waste management - Provides guidance for waste management professionals, policymakers, and business leaders to optimize waste management processes and improve their bottom line |
| arduino machine vision: Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models Reza Rawassizadeh, 2025-03-15 Mastering AI, machine learning, and data science often means piecing together concepts scattered across countless resources—from statistics and visualizations to foundational models and large language models. This book, the result of eight years of effort, brings it all together in one accessible, engaging package. It clarifies artificial intelligence and data science, blending core mathematical principles with a clear, reader-friendly approach. Unlike traditional textbooks that lean heavily on equations and mathematical formalization, the author starts with minimal prerequisites, layering deeper math as the reader progresses. Each concept, algorithm, or model is unpacked through clear, hands-on examples that build the reader's skills step by step. It strikes a balance between theoretical foundations and practical application, serving as both an academic reference and a practical guide. Furthermore, the book uses humor, casual language, and comics to make the challenging concepts and topics relatable and fun. Any resemblance between the jokes and real life is pure coincidence, and no offense is intended. |
| arduino machine vision: Cognitive Computing for Human-Robot Interaction Mamta Mittal, Rajiv Ratn Shah, Sudipta Roy, 2021-08-13 Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human–robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning. Key features: - Introduces several new contributions to the representation and management of humans in autonomous robotic systems; - Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society; - Engages with the potential repercussions of cognitive computing and HRI in the real world. - Introduces several new contributions to the representation and management of humans in an autonomous robotic system - Explores cognitive computing, robots and HRI, presenting a more in-depth understanding to make robots better for society - Gives a challenging approach to those several repercussions of cognitive computing and HRI in the actual global scenario |
| arduino machine vision: Hybrid and Advanced Technologies S. Prasad Jones Christydass, Nurhayati Nurhayati, S. Kannadhasan, 2025-03-21 The proceedings of the International Conference on Hybrid and Advanced Technologies (ICHAT 2024) present a rich repository of cutting-edge research on the various applications of machine learning, deep learning, and AI in cybersecurity, healthcare, agriculture and communication systems. It highlights the revolutionary potential of data science in transforming traditional practices, improving efficiency and accuracy across diverse domains and addressing complex real-world challenges. These proceedings contains innovative neural-network models for agriculture that can predict tractor fuel consumption and optimize smart irrigation, besides suggesting greenhouse automation for enhanced agricultural productivity. It also provides a roadmap for IoT-based monitoring systems for asthma patients and machine learning approaches for early detection of diabetes, cancer and aquatic plant ailments. Through an array of practical examples and comparative studies, the book further highlights advancements in machine learning for enhancing palm vein authentication, combating fake news, keeping data safe and improving customer segmentation in e-commerce. The findings would be instrumental in combating critical global issues and foster a deeper understanding of the role of AI in image processing, cybersecurity, medical diagnostics, and intelligent systems in the future. This will be a highly interesting guide to researchers, data scientists, and practicing professionals in the fields of artificial intelligence, machine learning, and cybersecurity. It will also be of interest to healthcare professionals, agricultural scientists, and technology enthusiasts in fostering global collaborations, exploring future challenges and opportunities and introducing state-of-the-art technologies to streamline processes. |
| arduino machine vision: Algorithms in Advanced Artificial Intelligence R. N. V. Jagan Mohan, Vasamsetty Chandra Sekhar, V. M. N. S. S. V. K. R. Gupta, 2024-07-08 The most common form of severe dementia, Alzheimer’s disease (AD), is a cumulative neurological disorder because of the degradation and death of nerve cells in the brain tissue, intelligence steadily declines and most of its activities are compromised in AD. Before diving into the level of AD diagnosis, it is essential to highlight the fundamental differences between conventional machine learning (ML) and deep learning (DL). This work covers a number of photo-preprocessing approaches that aid in learning because image processing is essential for the diagnosis of AD. The most crucial kind of neural network for computer vision used in medical image processing is called a Convolutional Neural Network (CNN). The proposed study will consider facial characteristics, including expressions and eye movements using the diffusion model, as part of CNN’s meticulous approach to Alzheimer’s diagnosis. Convolutional neural networks were used in an effort to sense Alzheimer’s disease in its early stages using a big collection of pictures of facial expressions. |
Arduino IDE 2.3.4 is now available - IDE 2.x - Arduino Forum
Dec 5, 2024 · arduino/arduino-ide#2571, arduino/arduino-cli#2707, arduino/arduino-cli#2665, arduino/pluggable-discovery-protocol-handler#50. Previously, Arduino IDE would sometimes …
Using millis () for timing. A beginners guide - Arduino Forum
Oct 2, 2017 · Part 1 It is not usually long before new Arduino users discover that although the delay() function is easy to use it has side effects, the main one of which is that its stops all …
Arduino Forum
Making embedded systems accessible to all. Discussion about software tools used for development and deployment of Arduino projects.
Arduino IDE 2.0.4 is now available - IDE 2.x - Arduino Forum
Feb 27, 2023 · arduino/arduino-ide#1909, arduino/arduino-cli#2033, arduino/arduino-cli#2029 Arduino CLI caches the objects produced by compiling a sketch program under the temporary …
Failed uploading: uploading error: exit status 1 - Arduino Forum
Oct 12, 2023 · Disconnect the USB cable of the Arduino board from your computer. Select Tools > Port from the Arduino IDE menus. Take note of the ports, if any, listed in the menu. Close the …
How to initialize (or Declare) a multidimensional array - Arduino Forum
Feb 22, 2014 · I consider it a bit of a shortcoming of the Reference section on the website in that it doesn't expand upon the Array section on how to declare a multidimensional array. Worse yet, …
Latest Community topics - Arduino Forum
May 29, 2025 · (Keep it cool) Products and Services Announcements of Arduino-related products and services Website and Forum Improvements for the website, documentation, forum software, …
How do I use enum? - Programming - Arduino Forum
Aug 30, 2011 · Arduino Forum. How do I use enum? Projects. Programming. system August 30, 2011, 7:14pm 1. HI Paul. I ...
arduino uno - How do I resolve "avrdude: stk500_recv(): …
Open the arduino IDE and click on File\Preferences and tick the option ;'Show verbose output during: 'upload'.Then close the 'Preferences' screen. Load a small program that works. e.g. …
Arduino IDE 2.3.2 is now available - IDE 2.x - Arduino Forum
Feb 20, 2024 · Arduino boards platform authors must define some properties in the platform configuration files in order for the boards of the platform to be usable with the IDE's integrated …
Arduino IDE 2.3.4 is now available - IDE 2.x - Arduino Forum
Dec 5, 2024 · arduino/arduino-ide#2571, arduino/arduino-cli#2707, arduino/arduino-cli#2665, arduino/pluggable-discovery-protocol-handler#50. Previously, Arduino IDE would sometimes …
Using millis () for timing. A beginners guide - Arduino Forum
Oct 2, 2017 · Part 1 It is not usually long before new Arduino users discover that although the delay() function is easy to use it has side effects, the main one of which is that its stops all …
Arduino Forum
Making embedded systems accessible to all. Discussion about software tools used for development and deployment of Arduino projects.
Arduino IDE 2.0.4 is now available - IDE 2.x - Arduino Forum
Feb 27, 2023 · arduino/arduino-ide#1909, arduino/arduino-cli#2033, arduino/arduino-cli#2029 Arduino CLI caches the objects produced by compiling a sketch program under the temporary …
Failed uploading: uploading error: exit status 1 - Arduino Forum
Oct 12, 2023 · Disconnect the USB cable of the Arduino board from your computer. Select Tools > Port from the Arduino IDE menus. Take note of the ports, if any, listed in the menu. Close the …
How to initialize (or Declare) a multidimensional array - Arduino Forum
Feb 22, 2014 · I consider it a bit of a shortcoming of the Reference section on the website in that it doesn't expand upon the Array section on how to declare a multidimensional array. Worse yet, …
Latest Community topics - Arduino Forum
May 29, 2025 · (Keep it cool) Products and Services Announcements of Arduino-related products and services Website and Forum Improvements for the website, documentation, forum software, …
How do I use enum? - Programming - Arduino Forum
Aug 30, 2011 · Arduino Forum. How do I use enum? Projects. Programming. system August 30, 2011, 7:14pm 1. HI Paul. I ...
arduino uno - How do I resolve "avrdude: stk500_recv(): …
Open the arduino IDE and click on File\Preferences and tick the option ;'Show verbose output during: 'upload'.Then close the 'Preferences' screen. Load a small program that works. e.g. …
Arduino IDE 2.3.2 is now available - IDE 2.x - Arduino Forum
Feb 20, 2024 · Arduino boards platform authors must define some properties in the platform configuration files in order for the boards of the platform to be usable with the IDE's integrated …
