ABSTRACT
Recent advancements in artificial intelligence, or AI, have paved the way for the creation of autonomous machines, robots, and other gadgets that stand out for their capacity for self-determined decision-making and task completion. One of these devices is unmanned aerial vehicles (UAVs), also called drones, and computer vision algorithms together have created new opportunities for numerous uses, which involve surveillance and monitoring. In this paper, we demonstrate the application of the You Only Look Once (YOLO) algorithm for drone-based detection of people and animals. The benefits of the YOLO algorithm in identifying both humans and animals and its potential applications in rescue missions are studied in this study. The goal of the suggested approach is to increase the significance and accuracy of surveillance systems, animal monitoring, and search and rescue activities.
