Computer vision powers critical functions like object detection, classification, and tracking while the drone is airborne. Without computer vision, drones would be unable to autonomously recognize and respond to features like buildings, trees, and diverse terrains. Advances in computer vision enable drones to effectively perform surveillance and security tasks. They analyze visual data to identify suspicious activities, unauthorized access, and enhance threat detection, thus improving decision-making and mission success rates. Computer vision technology is pivotal in developing autonomous navigation and obstacle avoidance in drones. Computer Vision and Edge Computing Technologies for the Drone Industry explores the enhancement of the autonomous capability of drones for operations in dense forests, mountainous regions, or urban settings. It highlights the abilities of computer vision algorithms to enable drones to navigate hazardous environments without human intervention, enabling autonomous flight and collision avoidance. Covering topics such as drone surveillance, traffic management, and industrial applications, this book is an excellent resource for computer scientists, aviation scientists, industrial professionals, professionals, researchers, scholars, academicians, and more.
Ali Shah, Imdad: - Software EngineeringCyber SecurityIoT SecurityHealthcare Security
Jhanjhi, Noor Zaman: - Noor Zaman Jhanjhi (N.Z Jhanjhi) is currently working as a Professor in Computer Science (Cybersecurity and AI), Program Director for the Postgraduate Research Degree Programmes in computer science, Director of the Center for Smart Society (CSS5) at the School of Computer Science at Taylor's University, Malaysia. He has been nominated as the world's top 2% research scientist globally; he is among the top five computer science researchers in Malaysia and was nominated as an Outstanding Faculty Member by the MDEC Malaysia for the year 2022. He has highly indexed publications in WoS/ISI/SCI/Scopus, and his collective research Impact factor is more than 900 plus points. His Google Scholar H index is 60, and I-10 Index is close to 275, and his Scopus H index is 39, with more than 600 publications on his credit. He has several international patents on his account, including Australian, German, and Japanese patents. He edited/authored over 50 research books published by world-class publishers, including Springer, IGI Global USA, Taylors and Frances, Willeys, Intech Open, etc. He has excellent experience supervising and co-supervising postgraduate students, and more than 37 Postgraduate scholars graduated under his supervision. Prof. Jhanjhi serves as Associate Editor and Editorial Assistant Board for several reputable journals, such as PeerJ Computer Science, CMC Computers, Materials & Continua, Computer Systems Science and Engineering CSSE, Frontier in Communication and Networks, etc. He received the Outstanding Associate Editor award for IEEE ACCESS. Active reviewer for a series of top-tier journals has been awarded globally as a top 1% reviewer by Publons (Web of Science). He is an external Ph.D./Master thesis examiner/evaluator for several universities globally and has evaluated 60 plus theses. He has completed more than 40 internationally funded research grants successfully. He has been a keynote/invited speaker for over 60 international conferences and has chaired international conference sessions. He has vast experience in academic qualifications, including ABET, NCAAA, and NCEAC, for 10 years. His research areas include Cybersecurity, IoT security, Wireless security, Data Science, Software Engineering, and UAVs. .
