"Mastering Drone Technology with AI" is a detailed guide to the transformational power of AI in drone technology. It investigates how AI is transforming numerous elements of drone operations, from navigation and flight automation to data analysis and decision-making processes. The book gives readers a thorough knowledge of cutting-edge advancements including Machine Learning, computer vision, and autonomous flight systems, making it an indispensable resource for anybody interested in the convergence of AI and unmanned aerial vehicles (UAVs).
This book is a valuable resource for professionals in agriculture, logistics, surveillance, and environmental monitoring looking to integrate AI-powered drones into their work. It offers step-by-step guides and practical projects to help readers gain the skills needed to excel. By exploring the latest advancements and strategies, professionals can stay competitive in this rapidly evolving field. The book also covers safety and regulatory issues, ensuring that AI-equipped drones are used ethically and legally.
By promoting a thorough awareness of both the theoretical and practical elements of AI in drone technology, the book enables professionals to innovate and lead in their respective sectors.
KEY FEATURES
* Examine how AI transforms drones through advanced algorithms for navigation, automation, and data analysis.
* The book provides real-world examples of AI-enhanced drones in agriculture, logistics, and surveillance, along with insights into safety standards and regulations.
* It offers interactive learning through quizzes, case studies, and projects, plus resources for developers to create AI-powered drone solutions.
WHAT YOU WILL LEARN
* Understand the basic components, types, and flying mechanisms of drones.
* Learn how AI enhances drone capabilities like object detection, navigation, and decision-making.
* Explore real-world uses of AI in drones for agriculture, surveillance, delivery, and environmental monitoring.
* Gain awareness of legal and ethical issues, including airspace regulations and privacy concerns.
* Get insights into future trends in drone technology and AI to stay ahead in this fast-growing industry.
WHO THIS BOOK IS FOR
The target audience for this book includes undergraduate students from diverse academic backgrounds, including engineering, life sciences, mathematics, and technology. Additionally, it is beneficial for drone enthusiasts, tech experts, students, educators, industry professionals, academics, entrepreneurs, and policymakers interested in integrating AI with drones for a variety of applications.
Dr. Subhash K. Shinde, an accomplished Computer Engineer, is the Principal and Professor in the Department of Computer Engineering at Lokmanya Tilak College of Engineering, Navi Mumbai. He has completed his M.E. in Information Technology (1999) and PhD in Computer Science and Engineering (2012). He has more than 26 years experience in the field of academics, administration and research. He has published about 48 papers in International Journals and Conferences and has a copyright to his credit. He has also authored four books through reputed publishers. Under his supervision, 5 research scholars (PhD) and 30 PG (ME) Students have successfully completed their degree from University of Mumbai. He has worked as Chairman, Board of Studies in Computer Engineering under Faculty of Technology, University of Mumbai, and Member of the Academic Council, BUTR, RRC, of University of Mumbai from July 2015 to September 2019. He has also contributed as Member of Board of Studies in Information Technology under Faculty of Science & Technology, Pune University from July 2015 to Aug 2019. Currently he is a member of BoS in Computer Engineering under the Faculty of Science & Technology, University of Mumbai. He is a life member of Indian Society for Technical Education (ISTE), Computer Society of India (CSI) and International Association of Computer Science and Information Technology (ASCIT). He is a reviewer of reputed journals like IEEE Transactions, Science Direct, and Springer. He is actively involved with many autonomous colleges and Universities, in framing syllabi for UG and PG programmes and also contributing as an academic advisor.
Dr. Jyoti Sunil More is a distinguished scholar and educator, holding a PhD in Computer Engineering, and currently serving as an Associate Professor in the Computer Engineering department at Fr. C. Rodrigues Institute of Technology in Navi Mumbai. With a career spanning over two decades, she has made remarkable contributions to the field of computer engineering and has played a pivotal role in shaping the minds of the next generation of engineers. She earned her bachelors degree in Computer Science and Engineering in 1997 in Shivaji University. Continuing her pursuit of knowledge, she pursued her masters degree, obtaining an M. Tech. in Computer Engineering in 2006. The pinnacle of her academic journey was achieved in 2019 when she earned a PhD in Computer Engineering.
Her dissertation work contributed valuable insights and advancements to the field, and it exemplified her commitment to pushing the boundaries of knowledge and innovation.
She has authored many research articles in reputed journals and conferences and has reviewed many articles in Journals of repute. She has also worked as book reviewer for Data Structure (Marathi) in UGC’s initiative for translation of books in Indian languages. She has guided several UG and PG students for academic and research projects and is involved actively with research institutes like TIFR, Mumbai. She has worked in several Mumbai University Committees. She also extends her expertise to other Autonomous Institutes as Member of Board of studies for the syllabus framing and revisions.
Dr. Chaitrali Prasanna Chaudhari is an educator and a distinguished scholar, holding a Phd in Computer Engineering. She has over 23 years of teaching experience at both undergraduate and postgraduate levels, and currently working as an Assistant Professor in the Department of Computer Science & Engineering (artificial intelligence and machine learning) at Lokmanya Tilak College of Engineering, Navi Mumbai, (MS), India.
She earned her bachelors degree in Computer Science and Engineering in 2001 in Amravati University and masters degree, obtaining an M.E. in Computer Engineering in 2011, in University of Mumbai. The milestone of her academic journey was achieved in 2023 when she earned a PhD, a testament to years of dedication, research, and perseverance.
Her academic expertise spans a diverse range of subjects within Computer Engineering, including database, networks, artificial intelligence, deep learning etc. She has demonstrated a profound commitment to advancing knowledge and innovation by publishing her research work in reputed journals and presenting at leading conferences. She has showcased notable contributions to her field, that includes the grant of an international patent, and authoring a book. She has been a reviewer for prestigious conferences and journals, where she has evaluated a wide range of scholarly articles. She has guided many student projects and has been recognized with awards at several project presentations and conferences. Her research interests include the domain of artificial intelligence and machine learning, image processing, natural language processing, blockchain and security, Unmanned Aerial Vehicles operations and Implementations.
