Embedded Vision: An Introduction

Embedded Vision: An Introduction
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Book Description
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. It covers a large number of topics encountered in hardware architecture, software algorithms, applications, advancements in camera, processors, and sensors in the field of embedded vision.
Features:
  • Includes a wide range of applications to artificial intelligence, machine learning,  industry, science, medicine, transportation, civil infrastructure, and security
  • Covers a large number of topics encountered in hardware architecture, software algorithms, applications, advancements in processors and sensors.

Content

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

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