Inspecting Mega Solar Plants through Computer Vision and Drone Technologies-Reference-Cited by-同舟云学术

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Inspecting Mega Solar Plants through Computer Vision and Drone Technologies

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Frontiers of Information Technology (FIT)
language:
Short-container-title:

Author:

Ahmed Syed Umaid¹,Affan Muhammad²,Raza Muhammad Ilyas³,Harris Hashmi Muhammad⁴

Affiliation:

1. National University of Computer and Emerging Sciences,Department of Computer Sciences,Karachi,Pakistan

2. University of Toulon,SeaTech School of Engineering,La Garde,France

3. Vision Innopolis University,Institute of Robotics and Computer,Innopolis,Russia

4. University of Alabama at Birmingham,Department of Computer Science,Birmingham,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10042976/10043030/10043093.pdf?arnumber=10043093

Reference40 articles.

1. The Effect of Dust on Transmission and Self-cleaning Property of Solar Panels

2. Improved YOLOv5: Efficient Object Detection Using Drone Images under Various Conditions

3. yolov5,0

4. A method for detecting malfunctions in PV solar panels based on electricity production monitoring

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