Cargando…
Automatic Meter Reading from UAV Inspection Photos in the Substation by Combining YOLOv5s and DeeplabV3+
The combination of unmanned aerial vehicles (UAVs) and artificial intelligence is significant and is a key topic in recent substation inspection applications; and meter reading is one of the challenging tasks. This paper proposes a method based on the combination of YOLOv5s object detection and Deep...
Autores principales: | Deng, Guanghong, Huang, Tongbin, Lin, Baihao, Liu, Hongkai, Yang, Rui, Jing, Wenlong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506517/ https://www.ncbi.nlm.nih.gov/pubmed/36146437 http://dx.doi.org/10.3390/s22187090 |
Ejemplares similares
-
Environment Understanding Algorithm for Substation Inspection Robot Based on Improved DeepLab V3+
por: Wang, Ping, et al.
Publicado: (2022) -
Research on Ground Object Classification Method of High Resolution Remote-Sensing Images Based on Improved DeeplabV3+
por: Fu, Junjie, et al.
Publicado: (2022) -
Farmland boundary extraction based on the AttMobile-DeeplabV3+ network and least squares fitting of straight lines
por: Lu, Hao, et al.
Publicado: (2023) -
A non-destructive coconut fruit and seed traits extraction method based on Micro-CT and deeplabV3+ model
por: Yu, Lejun, et al.
Publicado: (2022) -
Automatic Recognition Reading Method of Pointer Meter Based on YOLOv5-MR Model
por: Zou, Le, et al.
Publicado: (2023)