An Autonomous Drone for Target Detection System in Dense-Obstructer Environment based on Artificial Intelligence

Abstract

Computer vision plays a major role in the AI-powered drones discussed in this paper. Drones can now analyze and record data on the ground as well as detect objects while flying thanks to this technology. Aneural networks are used to perform high-performance computer vision tasks. Unmanned aerial devices known as drones are utilized for a wide range of purposes. When they were first developed, these devices were controlled by hand or remotely. However, drones now frequently incorporate AI, automating some military operations. The fuse of simulated intelligence empowers drone sellers to utilize information from sensors connected to the robot to gather and execute visual and ecological information. Drones are a type of unmanned aerial vehicle (UAV) that can be operated autonomously by onboard computers or remotely by humans. The advancement of robot innovation in Indonesia from one year to another is progressively modern.. The advancement of innovation has made drones generally utilized for common requirements, particularly in business, industry and strategies. The use of robots can be utilized in a different of administrations, for example, observing foundation, delivering products, firefighting timberland, mining material investigation, planning of farming region, planning of modern region, fun toys and internal heat level checking. The proliferation of drones equipped with AI. Drones that use artificial intelligence to identify and classify objects by collecting data to improve the drone's function. In the industrial sector, the use of drones with artificial intelligence can assist individuals in performing challenging tasks and increase efficiency.