Author Description

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.