Integrating Computer Vision and Edge Computing in the Drone Industry

Integrating Computer Vision and Edge Computing in the Drone Industry

Muhammad Tahir (Dalian University of Technology, China), Sajjad Ali Rajper (Iqra University, Karachi, Pakistan), and Qurban Ali (University of Milano-Bicocca, Italy)
DOI: 10.4018/979-8-3693-8497-8.ch008
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Abstract

This chapter's primary objective is to focus on computer vision and edge computing (EC) advancements, challenges and future trends, further highlighting their role in reshaping industry applications in the drone industry. UAVs have garnered significant interest from both academics and industry as a crucial facilitator of IoT services. In this post, we thoroughly examine the function of edge AI for UAVs. With a focus on the function of edge AI, we examined several important UAV technological issues and applications. We also investigated the ideas of UAVs, Computer Vision and edge computing, artificial intelligence, and edge AI. Additionally, the difficulties in implementing AI on UAV edges were examined, and future directions and lessons learnt were deliberated. The device edge consists of edge devices; the local edge, which consists of the application and network layer; and the cloud edge.
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