Learn the fundamentals and applications of embedded vision systems, covering various industries and practical examples.

Key Features

Comprehensive guide to embedded vision systems

Detailed coverage of design and implementation across industries

Practical real-time examples for hands-on learning

Book Description

Embedded vision integrates computer vision into machines using algorithms to interpret images or videos. This book serves as an introductory guide for designing vision-enabled embedded products, with applications in AI, machine learning, industrial, medical, automotive, and more. It covers hardware architecture, software algorithms, applications, and advancements in cameras, processors, and sensors. The course begins with an overview of embedded vision, followed by industrial and medical vision applications. It then delves into video analytics, digital image processing, and camera-image sensors. Subsequent chapters cover embedded vision processors, computer vision, and AI integration. The final chapter presents real-time vision-based examples. Understanding these concepts is vital for developing advanced vision-enabled machines. This book takes readers from the basics to advanced topics, blending theoretical knowledge with practical applications. It is an essential resource for mastering embedded vision technology across various industries.

What you will learn

Understand the basics of embedded vision systems

Design and implement vision processors

Apply digital image processing techniques

Utilize AI in vision systems

Develop real-time vision applications

Integrate vision sensors and cameras effectively

Who this book is for

The ideal audience for this book includes engineers, developers, and researchers working in the field of embedded vision systems. A basic understanding of computer vision and digital image processing is recommended.