Overview
- Presents recent technology advancements and integrative approaches in Vision, Sensing, and Analytics
- Collects innovations and applications of vision and sensing that are potentially impactful in our societies in the near future such as automated vehicles, or population health
- Contains overviews, guidelines, and challenges of such integrative approaches for scholars and practitioners
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 207)
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Table of contents (15 chapters)
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Front Matter
Keywords
About this book
This book serves as the first guideline of the integrative approach, optimal for our new and young generations. Recent technology advancements in computer vision, IoT sensors, and analytics open the door to highly impactful innovations and applications as a result of effective and efficient integration of those. Such integration has brought to scientists and engineers a new approach —the integrative approach. This offers far more rapid development and scalable architecting when comparing to the traditional hardcore developmental approach.
Featuring biomedical and healthcare challenges including COVID-19, we present a collection of carefully selective cases with significant added- values as a result of integrations, e.g., sensing with AI, analytics with different data sources, and comprehensive monitoring with many different sensors, while sustaining its readability.
Editors and Affiliations
Bibliographic Information
Book Title: Vision, Sensing and Analytics: Integrative Approaches
Editors: Md Atiqur Rahman Ahad, Atsushi Inoue
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-030-75490-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-75489-1Published: 06 June 2021
Softcover ISBN: 978-3-030-75492-1Published: 07 June 2022
eBook ISBN: 978-3-030-75490-7Published: 05 June 2021
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: X, 413
Number of Illustrations: 44 b/w illustrations, 81 illustrations in colour
Topics: Computational Intelligence, Signal, Image and Speech Processing, Image Processing and Computer Vision