Research on Surface Defect Detection of Rare-Earth Magnetic Materials Based on Improved SSD

In order to overcome the limitation of manual visual inspection of surface defects of rare-earth magnetic materials and increase production efficiency of traditional rare-earth enterprises, a detection method based on improved SSD (Single Shot Detector) is proposed. The SSD model is improved from tw...

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Autores principales:	Bin Zhang, Shuqi Fang, Zhixi Li
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/2afa0a86b4024531b6d4bdfd442e1e01
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id	oai:doaj.org-article:2afa0a86b4024531b6d4bdfd442e1e01
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spelling	oai:doaj.org-article:2afa0a86b4024531b6d4bdfd442e1e012021-11-22T01:11:08ZResearch on Surface Defect Detection of Rare-Earth Magnetic Materials Based on Improved SSD1099-052610.1155/2021/4795396https://doaj.org/article/2afa0a86b4024531b6d4bdfd442e1e012021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/4795396https://doaj.org/toc/1099-0526In order to overcome the limitation of manual visual inspection of surface defects of rare-earth magnetic materials and increase production efficiency of traditional rare-earth enterprises, a detection method based on improved SSD (Single Shot Detector) is proposed. The SSD model is improved from two aspects for better performance in the detection of small defects. First of all, the multiscale receptive field module is embedded into the backbone network of the algorithm to improve the feature extraction ability of the model. Secondly, the interlayer feature fusion strategy of bidirectional feature pyramid in PANet (path aggregation network) is integrated into the model. In order to enhance the detection ability of the model, the high-level semantic information is strengthened by an efficient channel attention mechanism. The detection speed of the improved SSD algorithm is 55FPS, and the mAP (mean Average Precision) is up to 83.65%, which is 3.41% higher than of the original SSD algorithm, and the ability to identify small defects is significantly improved.Bin ZhangShuqi FangZhixi LiHindawi-WileyarticleElectronic computers. Computer scienceQA75.5-76.95ENComplexity, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Electronic computers. Computer science QA75.5-76.95
spellingShingle	Electronic computers. Computer science QA75.5-76.95 Bin Zhang Shuqi Fang Zhixi Li Research on Surface Defect Detection of Rare-Earth Magnetic Materials Based on Improved SSD
description	In order to overcome the limitation of manual visual inspection of surface defects of rare-earth magnetic materials and increase production efficiency of traditional rare-earth enterprises, a detection method based on improved SSD (Single Shot Detector) is proposed. The SSD model is improved from two aspects for better performance in the detection of small defects. First of all, the multiscale receptive field module is embedded into the backbone network of the algorithm to improve the feature extraction ability of the model. Secondly, the interlayer feature fusion strategy of bidirectional feature pyramid in PANet (path aggregation network) is integrated into the model. In order to enhance the detection ability of the model, the high-level semantic information is strengthened by an efficient channel attention mechanism. The detection speed of the improved SSD algorithm is 55FPS, and the mAP (mean Average Precision) is up to 83.65%, which is 3.41% higher than of the original SSD algorithm, and the ability to identify small defects is significantly improved.
format	article
author	Bin Zhang Shuqi Fang Zhixi Li
author_facet	Bin Zhang Shuqi Fang Zhixi Li
author_sort	Bin Zhang
title	Research on Surface Defect Detection of Rare-Earth Magnetic Materials Based on Improved SSD
title_short	Research on Surface Defect Detection of Rare-Earth Magnetic Materials Based on Improved SSD
title_full	Research on Surface Defect Detection of Rare-Earth Magnetic Materials Based on Improved SSD
title_fullStr	Research on Surface Defect Detection of Rare-Earth Magnetic Materials Based on Improved SSD
title_full_unstemmed	Research on Surface Defect Detection of Rare-Earth Magnetic Materials Based on Improved SSD
title_sort	research on surface defect detection of rare-earth magnetic materials based on improved ssd
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/2afa0a86b4024531b6d4bdfd442e1e01
work_keys_str_mv	AT binzhang researchonsurfacedefectdetectionofrareearthmagneticmaterialsbasedonimprovedssd AT shuqifang researchonsurfacedefectdetectionofrareearthmagneticmaterialsbasedonimprovedssd AT zhixili researchonsurfacedefectdetectionofrareearthmagneticmaterialsbasedonimprovedssd
_version_	1718418270855364608

Research on Surface Defect Detection of Rare-Earth Magnetic Materials Based on Improved SSD

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