Automatic Meter Reading from UAV Inspection Photos in the Substation by Combining YOLOv5s and DeeplabV3.

Deng, Guanghong; Huang, Tongbin; Lin, Baihao; Liu, Hongkai; Yang, Rui; Jing, Wenlong

Deng, Guanghong; Huang, Tongbin; Lin, Baihao; Liu, Hongkai; Yang, Rui; Jing, Wenlong.

Afiliação

Deng G; Guangzhou iMapCloud Intelligent Technology Co., Ltd., Guangzhou 510095, China.
Huang T; Guangzhou iMapCloud Intelligent Technology Co., Ltd., Guangzhou 510095, China.
Lin B; Guangzhou iMapCloud Intelligent Technology Co., Ltd., Guangzhou 510095, China.
Liu H; Guangzhou iMapCloud Intelligent Technology Co., Ltd., Guangzhou 510095, China.
Yang R; Guangzhou iMapCloud Intelligent Technology Co., Ltd., Guangzhou 510095, China.
Jing W; Guangdong Province Engineering Laboratory for Geographic Spatiotemporal Big Data, Key Laboratory of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guang

Sensors (Basel) ; 22(18)2022 Sep 19.

Article em En | MEDLINE | ID: mdl-36146437

Assuntos

Algoritmos; Inteligência Artificial

Palavras-chave

Deeplabv3+; YOLOv5s; image segmentation; meter reading; object detection

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Inteligência Artificial Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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