Steel Plate Defect Recognition of Deep Neural Network Recognition Based on Space-Time Constraints
In order to improve the effect of real-time defect recognition in steel plate online production, this paper studies the method of steel plate defect recognition based on the deep neural network algorithm based on space-time constraints. Moreover, this paper improves the space-time constraint algorit...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2022/9595286 |
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| _version_ | 1832564086696574976 |
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| author | Chi Zhang Zhiguang Wang Baiting Liu Wang Xiaolei |
| author_facet | Chi Zhang Zhiguang Wang Baiting Liu Wang Xiaolei |
| author_sort | Chi Zhang |
| collection | DOAJ |
| description | In order to improve the effect of real-time defect recognition in steel plate online production, this paper studies the method of steel plate defect recognition based on the deep neural network algorithm based on space-time constraints. Moreover, this paper improves the space-time constraint algorithm, optimizes the encryption structure of the traditional ABE scheme, and obtains a neural network feature recognition method based on space-time constraints. In order to process the massive image data stream generated instantaneously and ensure the real-time performance, accuracy, and stability of the detection system, this paper constructs a distributed parallel computing system structure based on the client/server (CC/S) model to obtain an intelligent recognition system. Through experimental research, it can be seen that the deep neural network recognition system based on space-time constraints proposed in this paper has a good effect in the recognition of steel plate defects. |
| format | Article |
| id | doaj-art-c875adfe3a65476ea8e73fb62b251a0c |
| institution | Kabale University |
| issn | 1687-5699 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-c875adfe3a65476ea8e73fb62b251a0c2025-02-03T01:11:58ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/9595286Steel Plate Defect Recognition of Deep Neural Network Recognition Based on Space-Time ConstraintsChi Zhang0Zhiguang Wang1Baiting Liu2Wang Xiaolei3Department of Industrial Engineering and ManagementScience and Technology on Special System Simulation LaboratoryScience and Technology on Special System Simulation LaboratoryScience and Technology on Special System Simulation LaboratoryIn order to improve the effect of real-time defect recognition in steel plate online production, this paper studies the method of steel plate defect recognition based on the deep neural network algorithm based on space-time constraints. Moreover, this paper improves the space-time constraint algorithm, optimizes the encryption structure of the traditional ABE scheme, and obtains a neural network feature recognition method based on space-time constraints. In order to process the massive image data stream generated instantaneously and ensure the real-time performance, accuracy, and stability of the detection system, this paper constructs a distributed parallel computing system structure based on the client/server (CC/S) model to obtain an intelligent recognition system. Through experimental research, it can be seen that the deep neural network recognition system based on space-time constraints proposed in this paper has a good effect in the recognition of steel plate defects.http://dx.doi.org/10.1155/2022/9595286 |
| spellingShingle | Chi Zhang Zhiguang Wang Baiting Liu Wang Xiaolei Steel Plate Defect Recognition of Deep Neural Network Recognition Based on Space-Time Constraints Advances in Multimedia |
| title | Steel Plate Defect Recognition of Deep Neural Network Recognition Based on Space-Time Constraints |
| title_full | Steel Plate Defect Recognition of Deep Neural Network Recognition Based on Space-Time Constraints |
| title_fullStr | Steel Plate Defect Recognition of Deep Neural Network Recognition Based on Space-Time Constraints |
| title_full_unstemmed | Steel Plate Defect Recognition of Deep Neural Network Recognition Based on Space-Time Constraints |
| title_short | Steel Plate Defect Recognition of Deep Neural Network Recognition Based on Space-Time Constraints |
| title_sort | steel plate defect recognition of deep neural network recognition based on space time constraints |
| url | http://dx.doi.org/10.1155/2022/9595286 |
| work_keys_str_mv | AT chizhang steelplatedefectrecognitionofdeepneuralnetworkrecognitionbasedonspacetimeconstraints AT zhiguangwang steelplatedefectrecognitionofdeepneuralnetworkrecognitionbasedonspacetimeconstraints AT baitingliu steelplatedefectrecognitionofdeepneuralnetworkrecognitionbasedonspacetimeconstraints AT wangxiaolei steelplatedefectrecognitionofdeepneuralnetworkrecognitionbasedonspacetimeconstraints |