[center]English | November 24, 2023 | ISBN: N/A | ASIN: B0CNZBVQ5Y | 333 pages | EPUB | 7.88 Mb[/center]
Publisher: Sanji Nakamoto
Description:
Mastering Object-Oriented Programming for Arduino: A Comprehensive Guide to Building Efficient and Reusable Code
✔In this comprehensive guide, you'll delve into the world of object-oriented programming (OOP) and discover how to harness its power to create efficient, maintainable, and reusable Arduino code. Embark on a journey from the fundamentals of OOP to mastering advanced concepts like inheritance, polymorphism, and design patterns. Learn how to encapsulate data and functionality into classes, effectively manage object relationships, and implement robust software architectures.
✔With hands-on examples and practical projects, this guide will guide you through the process of designing, developing, and testing OOP-based Arduino applications. You'll learn how to create custom classes, utilize object-oriented libraries, and leverage OOP principles to tackle complex programming challenges.
✔Whether you're a seasoned Arduino programmer seeking to expand your skillset or a beginner eager to master OOP concepts, this guide will equip you with the knowledge and expertise to elevate your Arduino programming skills to the next level.
Unleashing the Power of Computer Vision with Arduino: A Practical Guide to Real-World Applications
✔Embark on an exciting journey into the realm of computer vision with Arduino, where you'll transform ordinary Arduino boards into powerful vision-based systems. This practical guide will equip you with the skills and knowledge to create innovative computer vision projects using the renowned OpenCV library.
✔Delve into the fundamentals of image processing, feature detection, and object recognition. Learn how to capture and manipulate images, extract meaningful information from visual data, and apply computer vision techniques to real-world problems.
Through a series of hands-on projects, you'll gain hands-on experience in building a variety of computer vision applications, including
Object tracking and detection
Facial recognition and emotion analysis
Sign recognition and gesture control
Line following and obstacle avoidance
With each project, you'll gain deeper insights into the power of computer vision and its potential to transform everyday objects into intelligent systems.
Bridging the Gap: Seamlessly Connecting Arduino to Firebase for Secure and Scalable IoT Projects✔In the era of the Internet of Things (IoT), seamlessly connecting your Arduino projects to the cloud is crucial for data storage, remote monitoring, and real-time control. This guide will introduce you to Firebase, a powerful cloud platform that provides a perfect solution for interfacing your Arduino projects with the cloud.
✔Learn how to set up your Firebase account and integrate it with your Arduino code. Discover how to securely store and retrieve data from the cloud, enabling you to monitor sensor readings, control devices remotely, and gather valuable insights into your IoT applications.
✔Through a series of practical examples and step-by-step instructions, you'll master the art of connecting Arduino to Firebase, unlocking a world of possibilities for your IoT projects. Whether you're building smart home systems, environmental monitoring stations, or remote-controlled devices, this guide will empower you to seamlessly integrate your Arduino projects with the cloud.
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B0CNZBVQ5Y.epub (Nakamoto, Sanji) (7.88 MB)
⭐️ Unleashing The Power Of Computer Vision With Arduino ✅ (7.88 MB)
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