Embedded Vision : : An Introduction / / S. R. Vijayalakshmi, S. Muruganand.

• VerfasserIn: Vijayalakshmi, S. R.,; Muruganand, S.,
• Place / Publishing House: Dulles, VA : : Mercury Learning and Information, , [2019]; ©2019
• Year of Publication: 2019
• Language: English
• Physical Description: 1 online resource (580 p.)
• Other title: Frontmatter --; Contents --; Preface --; Chapter 1 Embedded Vision --; Chapter 2 Industrial Vision --; Chapter 3 Medical Vision --; Chapter 4 Video Analytics --; Chapter 5 Digital Image Processing --; Chapter 6 Camera—Image Sensor --; Chapter 7 Embedded Vision Processors and Sensors --; Chapter 8 Computer Vision --; Chapter 9 Artificial Intelligence for Embedded Vision --; Chapter 10 Vision-Based Real-Time Examples --; Appendix --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9781683924586
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: S. R. Vijayalakshmi, S. Muruganand.

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.