Design of infrared monitoring system based on convolutional neural network
For the effective, convenient and unified management of materials about military logistics, this paper studies and designs a monitoring system for monitoring the presence of items. The system uses the motherboard of Raspberry Pi to collect the level signal of the infrared sensor about the presence o...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
National Computer System Engineering Research Institute of China
2023-04-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000160461 |
| _version_ | 1797447898058719232 |
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| author | Jiao Xiang Zhao Wence Kuai Liang Zhou Gan Bai Yongqiang Ren Yancheng |
| author_facet | Jiao Xiang Zhao Wence Kuai Liang Zhou Gan Bai Yongqiang Ren Yancheng |
| author_sort | Jiao Xiang |
| collection | DOAJ |
| description | For the effective, convenient and unified management of materials about military logistics, this paper studies and designs a monitoring system for monitoring the presence of items. The system uses the motherboard of Raspberry Pi to collect the level signal of the infrared sensor about the presence of the items and the images taken by camera of the items. Then it converts the data into the general data frame, and sends the frame to the data processing module through the source-specific multicast. Finally, the image recognition based on the convolutional neural network is used to judge the correctness of the item, and display its status in real time through the monitoring interface. It has been verified that the system can ensure the real time of data acquisition and the accuracy of identifying items. It has strong practicability. |
| first_indexed | 2024-03-09T14:02:37Z |
| format | Article |
| id | doaj.art-21cc9b33e83943baaf5baea0fa0e95f3 |
| institution | Directory Open Access Journal |
| issn | 0258-7998 |
| language | zho |
| last_indexed | 2024-03-09T14:02:37Z |
| publishDate | 2023-04-01 |
| publisher | National Computer System Engineering Research Institute of China |
| record_format | Article |
| series | Dianzi Jishu Yingyong |
| spelling | doaj.art-21cc9b33e83943baaf5baea0fa0e95f32023-11-30T05:41:31ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982023-04-01494838710.16157/j.issn.0258-7998.2229793000160461Design of infrared monitoring system based on convolutional neural networkJiao Xiang0Zhao Wence1Kuai Liang2Zhou Gan3Bai Yongqiang4Ren Yancheng5(1.The Sixth Research Institute of China Electronics Corporation， Beijing 102209， ChinaTaiyuan Satellite Launch Center， Taiyuan 030027， China)(1.The Sixth Research Institute of China Electronics Corporation， Beijing 102209， China(1.The Sixth Research Institute of China Electronics Corporation， Beijing 102209， ChinaTaiyuan Satellite Launch Center， Taiyuan 030027， China)Taiyuan Satellite Launch Center， Taiyuan 030027， China)For the effective, convenient and unified management of materials about military logistics, this paper studies and designs a monitoring system for monitoring the presence of items. The system uses the motherboard of Raspberry Pi to collect the level signal of the infrared sensor about the presence of the items and the images taken by camera of the items. Then it converts the data into the general data frame, and sends the frame to the data processing module through the source-specific multicast. Finally, the image recognition based on the convolutional neural network is used to judge the correctness of the item, and display its status in real time through the monitoring interface. It has been verified that the system can ensure the real time of data acquisition and the accuracy of identifying items. It has strong practicability.http://www.chinaaet.com/article/3000160461raspberry piinfrared detectioncondition monitoringimage recognitionconvolutional neural network |
| spellingShingle | Jiao Xiang Zhao Wence Kuai Liang Zhou Gan Bai Yongqiang Ren Yancheng Design of infrared monitoring system based on convolutional neural network Dianzi Jishu Yingyong raspberry pi infrared detection condition monitoring image recognition convolutional neural network |
| title | Design of infrared monitoring system based on convolutional neural network |
| title_full | Design of infrared monitoring system based on convolutional neural network |
| title_fullStr | Design of infrared monitoring system based on convolutional neural network |
| title_full_unstemmed | Design of infrared monitoring system based on convolutional neural network |
| title_short | Design of infrared monitoring system based on convolutional neural network |
| title_sort | design of infrared monitoring system based on convolutional neural network |
| topic | raspberry pi infrared detection condition monitoring image recognition convolutional neural network |
| url | http://www.chinaaet.com/article/3000160461 |
| work_keys_str_mv | AT jiaoxiang designofinfraredmonitoringsystembasedonconvolutionalneuralnetwork AT zhaowence designofinfraredmonitoringsystembasedonconvolutionalneuralnetwork AT kuailiang designofinfraredmonitoringsystembasedonconvolutionalneuralnetwork AT zhougan designofinfraredmonitoringsystembasedonconvolutionalneuralnetwork AT baiyongqiang designofinfraredmonitoringsystembasedonconvolutionalneuralnetwork AT renyancheng designofinfraredmonitoringsystembasedonconvolutionalneuralnetwork |