Embedded Vision: An Introduction

By S. Muruganand and S.R. Vijayalakshmi

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.

• Format: Paperback
• Language: English
• ISBN: 1683924576
• ISBN13: 9781683924579
• Release Date: October 2019
• Publisher: Mercury Learning and Information
• Length: 580 Pages
• Weight: 2.35 lbs.
• Dimensions: 1.5" x 7.0" x 9.0"
• Grade Range: Postsecondary