Computer Vision And Edge Computing Technologies For The Drone Industry
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Computer Vision and Edge Computing Technologies for the Drone Industry
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.
Applications of Computer Vision and Drone Technology in Agriculture 4.0
Author: Siddharth Singh Chouhan
language: en
Publisher: Springer Nature
Release Date: 2024-03-18
This edited book focus on two most emerging areas and covers the different aspects of computer vision and drone technology in the field of agriculture. It comprises various applications including segmentation/classification of plant diseases, monitoring of crops, grade/quality estimation of fruits/flowers/vegetables/crops, surveillance, soil deficiency estimation, crop/plant growth estimation, canopy measurement, water stress management, vegetation indices calculation, weed detection, and spraying, among other. It has 17 chapters contributed by experts in the field of computer vision, drone technology, deep learning, machine learning, artificial intelligence, image processing, agriculturist, and plant pathologists. The recent development of high-end computing devices and the adaptation of unmanned aerial vehicles has provided a mechanism to automate traditional agriculture practices. The on-field or aerial images captured using cameras are processed with the help of intelligent algorithms, and an assessment is drawn for further recommendations. This practice is efficient in provisioning an accurate, timely, and economical decision-making system to overcome the problems of agricultural field experts and farmers. This process is advantageous in increasing the quality and quantity of crop yields. This book serves as an excellent guide to students, researchers, scientists, and field experts in directing their work toward this domain and developing/designing models. Further, this book is useful for pathologists, biotechnologists, seed production specialists, breeders, market managers, and other stakeholders associated with underlying technology or market development from the public and private sectors.
Cybersecurity Issues and Challenges in the Drone Industry
Cybersecurity Issues and Challenges in the Drone Industry is a comprehensive exploration of the critical cybersecurity problems faced by the rapidly expanding drone industry. With the widespread adoption of drones in military, commercial, and recreational sectors, the need to address cybersecurity concerns has become increasingly urgent. In this book, cybersecurity specialists collaborate to present a multifaceted approach to tackling the unique challenges posed by drones. They delve into essential topics such as establishing robust encryption and authentication systems, conducting regular vulnerability assessments, enhancing software security, advocating industry-wide standards and best practices, and educating drone users about the inherent cybersecurity risks. As drones, or unmanned aerial vehicles (UAVs), gain popularity and are deployed for various applications, ranging from aerial photography and surveillance to delivery services and infrastructure inspections, this book emphasizes the criticality of safeguarding the security, integrity, and privacy of drone systems and the data they handle. It highlights the growing vulnerability of drones to cybersecurity threats as these devices become increasingly connected and integrated into our everyday lives. This book is an invaluable resource for drone manufacturers, government agencies, regulators, cybersecurity professionals, and academia and research institutions invested in understanding and mitigating the cybersecurity risks in the drone industry.