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The Recognition and Information Extraction of Grid Wiring Diagram Based on Convolutional Neural Network
- Source :
- 2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL).
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- With the rapid development of digital image processing and recognition, the intelligent grid wins a great opportunity. We could be able to get the information from digital images quickly based on computer analysis, algorithms of deep learning and machine learning, grid data extraction, model training and image recognition. The article firstly reviewed the current status of traditional grid, including a broad overview of the specific strengths and weaknesses, secondly analyzed the intelligence algorithms of deep learning and machine learning based on neural network, then achieved the recognition and reconstruction of wiring diagram through image recognition based on neural network, lastly showed the prospects of image recognition in power system.
- Subjects :
- Artificial neural network
Computer science
business.industry
Deep learning
Feature extraction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
010501 environmental sciences
computer.software_genre
Grid
01 natural sciences
Convolutional neural network
Information extraction
Digital image
Digital image processing
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Data mining
Artificial intelligence
business
computer
0105 earth and related environmental sciences
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL)
- Accession number :
- edsair.doi...........763d7f3f89e550759007c44d853b2cb2