Название: Embedded Vision: An Introduction
Автор: S.R. Vijayalakshmi, S. Muruganand
Издательство: Mercury Learning and Information
Год: 2019
Страниц: 581
Язык: английский
Формат: pdf (true)
Размер: 37.7 MB

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 (ML), Artificial Intelligence (AI), industrial, medical, driver-less 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 systems 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, robotics, and security
- Covers a large number of topics encountered in hardware architecture, software algorithms, applications, and the latest research and advancements in processors and sensors

Brief Table Of Contents
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 for Embedded Vision. 10. Vision-Based, Real-Time Examples. Appendix: Glossary. Index.