Description

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Embedded vision is the integration of "computer vision" intomachines that use algorithms to decode meaning from observed images or video.It has a wide range of applications to machine learning, artificialintelligence, 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 machinesthat have vision-enabled, embedded products. It covers a large number of topicsencountered in hardware architecture, software algorithms, applications, advancements in camera, processors, and sensors in the field of embeddedvision.

Features:

• Includes a wide range of applications to artificialintelligence, machine learning, industry, science, medicine, transportation, civil infrastructure, and security
• Covers a large number of topics encountered in hardwarearchitecture, software algorithms, applications, advancements in processors andsensors.

About the Author

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Vijayalakshmi S. R.: S. R. Vijayalakshmi is a university professor and researcher who teaches courses in wireless communication and engineering. Vijayalakshmi and Muruganand are the authors of Wireless Sensor Networks; Ocean Instrumentation, Electronics, and Energy; and Embedded Vision: An Introduction (published by Mercury Learning and Information). Muruganand S.: S. Muruganand is a university professor and researcher who teaches courses in wireless communication and engineering. Muruganand and Vijayalakshmi are the authors of Wireless Sensor Networks; Ocean Instrumentation, Electronics, and Energy; and Embedded Vision: An Introduction (published by Mercury Learning and Information).