Embedded Vision

An Introduction
1. Auflage 2019
ISBN: 978-1-68392-457-9
Verlag: Mercury Learning and Information

Buch, Englisch, 580 Seiten, Format (B × H): 178 mm x 229 mm, Gewicht: 1043 g

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.

Autoren/Hrsg.

Muruganand, S.

Vijayalakshmi, S. R.

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Sensorik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Mobilfunk- und Drahtlosnetzwerke & Anwendungen

Inhaltsverzeichnis

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

Über Autor(innen)

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).