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Embedded Vision
An Introduction
Paperback
October 2019
9781683924579
More details
- Publisher
Mercury Learning and Information - Published
12th October 2019 - ISBN 9781683924579
- Language English
- Pages 580 pp.
- Size 7" x 9"
$69.95
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September 2019
9781683924562
More details
- Publisher
Mercury Learning and Information - Published
20th September 2019 - ISBN 9781683924562
- Language English
- Pages 580 pp.
- Size 7" x 9"
$69.95
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September 2019
9781683924586
More details
- Publisher
Mercury Learning and Information - Published
20th September 2019 - ISBN 9781683924586
- Language English
- Pages 580 pp.
- Size 7" x 9"
$124.95
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.
1. Embedded Vision
2. Industrial Vision
3. Medical Vision
4. Video Analytics
5. Digital Image Processing
6. Camera-Image Sensors
7. Embedded Vision Processors and Sensors
8. Computer Vision
9. Artificial Intelligence and Embedded Vision
10. Vision-Based, Real-Time Examples
Appendix
Glossary
Index
S. R. Vijayalakshmi
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).
S. Muruganand
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).
machine learning, computer vision, algorithms, hardware architecture, applications, civil infrastructure, security, smart phones