Smart Cars Ai And Iot Edge Computing In Realtime Signal Processing
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Internet of Vehicles and Computer Vision Solutions for Smart City Transformations
This book compiles recent research endeavors at the intersection of computer vision (CV) and deep learning for Internet of Vehicles (IoV) applications, which are pivotal in shaping the landscape of smart cities. These technologies play instrumental roles in enhancing various facets of urban life, encompassing safety, transportation, infrastructure management, and sustainability. The amalgamation of CV and deep learning within smart cities creates a powerful synergy that fosters safer, more efficient, and sustainable urban environments. By harnessing these cutting-edge technologies to drive data-driven decision-making, cities can elevate the quality of life for their inhabitants, mitigate environmental impact, and optimize overall urban functionality. Additionally, this compilation provides in-depth technical and scientific insights into various facets of artificial intelligence (AI) technologies, including forthcoming trends and innovations that are poised to transform smart cities. The book also extends its focus to other areas of smart city development. It explores the application of these technologies in the creation of smart parking solutions, discusses the role of surveillance for public safety, and examines how CV and IoV can be utilized for environmental monitoring. The book also delves into urban planning and infrastructure development, emphasizing the importance of a data-driven approach. It sheds light on the social impact of smart cities and the importance of citizen engagement and discusses issues of security and privacy in the context of smart cities. The book concludes with a look at future trends and challenges in the field of smart cities. Targeted at researchers, practitioners, engineers, and scientists, this book is geared toward those engaged in the development of advanced algorithms for future-forward smart city applications in computer vision, vehicular networking, communication technology, sensor devices, IoT communication, vehicular and on-road safety, data security, and services for IoV-related devices.
DIGITAL SIGNAL PROCESSING TECHNIQUES: REAL-TIME IMPLEMENTATION AND OPTIMIZATION FOR MODERN APPLICATIONS
Author: MAHAVEER SIDDAGONI BIKSHAPATHI, AKSHAY GAIKWAD, SANYASI SARAT SATYA SUKUMAR BISETTY, DR. SHAKEB KHAN
language: en
Publisher: DeepMisti Publication
Release Date: 2024-11-10
In the ever-evolving landscape of the modern world, the synergy between technology and management has become a cornerstone of innovation and progress. This book, Digital Signal Processing Techniques: Real-Time Implementation and Optimization for Modern Applications, is conceived to bridge the gap between emerging technological advancements in digital signal processing (DSP) and their strategic application in building efficient, real-time systems that are both scalable and optimized for modern demands. Our objective is to equip readers with the tools and insights necessary to excel in this dynamic intersection of fields. This book is structured to provide a comprehensive exploration of the methodologies and strategies that define the innovation of DSP technologies, particularly focusing on techniques and applications relevant to real-time implementation and optimization. From foundational theories to advanced applications, we delve into the critical aspects that drive successful innovation in signal processing systems. We have made a concerted effort to present complex concepts in a clear and accessible manner, making this work suitable for a diverse audience, including students, developers, and industry professionals. In authoring this book, we have drawn upon the latest research and best practices to ensure that readers not only gain a robust theoretical understanding but also acquire practical skills that can be applied in real-world DSP scenarios. The chapters are designed to strike a balance between depth and breadth, covering topics ranging from DSP fundamentals and optimization techniques to the strategic management of scalable systems. Additionally, we emphasize the importance of real-time performance, system efficiency, and robustness, dedicating sections to the art of developing DSP solutions that deliver accuracy, scalability, and resilience. The inspiration for this book arises from a recognition of the crucial role that digital signal processing plays in shaping the future of digital interactions and communication technologies. We are profoundly grateful to Chancellor Shri Shiv Kumar Gupta of Maharaja Agrasen Himalayan Garhwal University for his unwavering support and vision. His dedication to fostering academic excellence and promoting a culture of innovation has been instrumental in bringing this project to fruition. We hope this book will serve as a valuable resource and inspiration for those eager to deepen their understanding of how DSP strategies can be harnessed to drive innovation. We believe that the knowledge and insights contained within these pages will empower readers to lead the way in creating high-performance DSP solutions that will define the future of real-time applications in a wide range of industries. Thank you for joining us on this journey. Authors