Intelligent Ammeter Reading Recognition Method Based on Deep Learning

被引：0
|
作者：
Dai, Cheng [1 ]
Gan, Yufang [1 ]
Zhuo, Ling [1 ]
Hu, Xin [1 ]
Wang, Yingkang [1 ]
Liao, Yong [2 ]
机构：
[1] State Grid Chongqing Elect Power Co, Informat & Telecommun Branch, Chongqing 404100, Peoples R China
[2] Chongqing Univ, Ctr Commun & TT&C, Chongqing 400044, Peoples R China
来源：
PROCEEDINGS OF 2019 IEEE 8TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC 2019) | 2019年
关键词：
intelligent ammeter; reading recognition; deep learning; convolutional neural network;
D O I：
10.1109/itaic.2019.8785764
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Aiming at the weaknesses of the current meter reading mode, this paper proposes an intelligent ammeter reading recognition method based on deep learning. A camera is first used to collect the image information of an ammeter digital dial, then the collected images are pre-processed, and finally the pre-processed images are automatically recognized by using the multi-layer convolutional neural network in this method. This method can be used for recognizing an ammeter automatically, reducing the workload of manual meter recognition and improving the recognition precision of the meter.
引用
收藏
页码：25 / 29
页数：5
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