Embedded Vision: An Introduction

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.