Drones for Transportation Logistics and Disaster Management
by A. Prasanth, Rajesh Kumar Dhanaraj, Munish Sabharwal, Vandana Sharma, Seifedine Kadry
6Impact and Assessment of Artificial Intelligence-Enabled UAV for Real-Time Data Streaming Application
Gobinath C.1*, Thanjaivadivel M.2, Sarathkumar Rangarajan3 and K. Kalaivanan4
1School of Computing and Information Technology, Department of AIML, REVA University, Bangalore, India
2Department of Computer Science and Engineering, Nandha Engineering College, Erode, India
3Victorian Institute of Technology, School of IT and Systems, Melbourne, Australia
4Department of Computer Science and Engineering, SRM Institute of Science and Technology, Trichy, Tamil Nadu, India
Abstract
This chapter describes the utilization of AI-powered UAVs for streaming live data with the potential to boost perception, decision-making, and communication using advanced algorithms. The UAVs process large volumes of data from onboard sensors and external sensors using computer vision, machine learning, and deep learning for the analysis of the world in real time. The UAVs automatically stream data from different sources such as aerial images, video feeds, environmental sensors, and geospatial maps. The AI onboard processing computes data in real time and supplies useful information and actionable intelligence to users. Applications of AI-powered UAVs have extensive ramifications in industries and are revolutionizing industries like agriculture, disaster relief, surveillance, and environmental monitoring. The industries obtain increased efficiency, data-based decision-making, and optimization of resources ...
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