Embedded Vision : : An Introduction / / 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,...
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| Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2019] ©2019 |
| Year of Publication: | 2019 |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (580 p.) |
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| 001 | 9781683924586 | ||
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| 100 | 1 | |a Vijayalakshmi, S. R., |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Embedded Vision : |b An Introduction / |c S. R. Vijayalakshmi, S. Muruganand. |
| 264 | 1 | |a Dulles, VA : |b Mercury Learning and Information, |c [2019] | |
| 264 | 4 | |c ©2019 | |
| 300 | |a 1 online resource (580 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 505 | 0 | 0 | |t Frontmatter -- |t Contents -- |t Preface -- |t Chapter 1 Embedded Vision -- |t Chapter 2 Industrial Vision -- |t Chapter 3 Medical Vision -- |t Chapter 4 Video Analytics -- |t Chapter 5 Digital Image Processing -- |t Chapter 6 Camera—Image Sensor -- |t Chapter 7 Embedded Vision Processors and Sensors -- |t Chapter 8 Computer Vision -- |t Chapter 9 Artificial Intelligence for Embedded Vision -- |t Chapter 10 Vision-Based Real-Time Examples -- |t Appendix -- |t Index |
| 506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
| 520 | |a 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. | ||
| 530 | |a Issued also in print. | ||
| 538 | |a Mode of access: Internet via World Wide Web. | ||
| 546 | |a In English. | ||
| 588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 07. Mrz 2024) | |
| 650 | 0 | |a Embedded computer systems. | |
| 650 | 4 | |a Artificial Intelligence. | |
| 650 | 4 | |a Data. | |
| 650 | 4 | |a Optics & Photonics. | |
| 650 | 4 | |a Robotics. | |
| 650 | 7 | |a COMPUTERS / Data Transmission Systems / Wireless. |2 bisacsh | |
| 653 | |a machine learning, computer vision, algorithms, hardware architecture, applications, civil infrastructure, security, smart phones. | ||
| 700 | 1 | |a Muruganand, S., |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
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| 856 | 4 | 0 | |u https://www.degruyter.com/isbn/9781683924586 |
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