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.