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An Introduction

Embedded Vision

Frontmatter

Contents

Preface

Chapter 1 Embedded Vision

Chapter 2 Industrial Vision

Chapter 3 Medical Vision

Chapter 4 Video Analytics

Chapter 5 Digital Image Processing

Chapter 6 Camera—Image Sensor

Chapter 7 Embedded Vision Processors and Sensors

Chapter 8 Computer Vision

Chapter 9 Artificial Intelligence for Embedded Vision

Chapter 10 Vision-Based Real-Time Examples

Appendix

Index

Vijayalakshmi, S. R.

Muruganand, S.

Embedded vision is the integration of “computer vision” into machines that use algorithms to decode meaning from observed images or video. It has a wide range of applications to machine learning, artificial intelligence, industrial, medical, driverless cars, drones, smart phones, aerospace, defense, agriculture, consumer, surveillance, robotics and security. This book is an introductory guide for anyone who is interested in designing machines that have vision-enabled, embedded products.

Embedded vision is the integration of “computer vision” into machines that use algorithms to decode meaning from observed images or video. It has a wide range...

Format

Embedded Vision

An Introduction

S. R. Vijayalakshmi

S. Muruganand

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