Intelligent Recognition in Automated Meters Surveying
The paper proposes a new multi-layer solution to combine various algorithms implementing Artificial Intelligence (AI) for image recognition. Several neural networks are introduced to solve specific problems of objects identification. Additional pre-launch matcher is supplemented to scope out various...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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FRUCT
2020-09-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://www.fruct.org/publications/fruct27/files/Iva.pdf |
| _version_ | 1819069675330338816 |
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| author | Anton Ivaschenko Arkadiy Krivosheev Denis Sveshnikov Nikita Svechkov Tatiana Feschenko Yuliya Tyshkovskaya Alexandr Chuvakov |
| author_facet | Anton Ivaschenko Arkadiy Krivosheev Denis Sveshnikov Nikita Svechkov Tatiana Feschenko Yuliya Tyshkovskaya Alexandr Chuvakov |
| author_sort | Anton Ivaschenko |
| collection | DOAJ |
| description | The paper proposes a new multi-layer solution to combine various algorithms implementing Artificial Intelligence (AI) for image recognition. Several neural networks are introduced to solve specific problems of objects identification. Additional pre-launch matcher is supplemented to scope out various objects and assigns them to the most corresponding AI modules. Distributed meter surveying is taken as an illustrative example of successful use. The introduced solution was implemented to process and analyze the results of electrical meters that are manually monitored by a group of patrol personnel inspectors using hand held devices. The results of development and testing show how the quality of neural network used for meter processing can be improved in practice. |
| first_indexed | 2024-12-21T16:53:49Z |
| format | Article |
| id | doaj.art-5ea552b9c3ef44b59c80071ce6f4dbcd |
| institution | Directory Open Access Journal |
| issn | 2305-7254 2343-0737 |
| language | English |
| last_indexed | 2024-12-21T16:53:49Z |
| publishDate | 2020-09-01 |
| publisher | FRUCT |
| record_format | Article |
| series | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| spelling | doaj.art-5ea552b9c3ef44b59c80071ce6f4dbcd2022-12-21T18:56:48ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372020-09-01271848910.23919/FRUCT49677.2020.9211047Intelligent Recognition in Automated Meters SurveyingAnton Ivaschenko0Arkadiy Krivosheev1Denis Sveshnikov2Nikita Svechkov3Tatiana Feschenko4Yuliya Tyshkovskaya5Alexandr Chuvakov6Samara State Technical University, RussiaSamara State Technical University, RussiaSamara State Technical University, RussiaSamara State Technical University, RussiaSamara State Technical University, RussiaSamara State Technical University, RussiaSamara State Technical University, RussiaThe paper proposes a new multi-layer solution to combine various algorithms implementing Artificial Intelligence (AI) for image recognition. Several neural networks are introduced to solve specific problems of objects identification. Additional pre-launch matcher is supplemented to scope out various objects and assigns them to the most corresponding AI modules. Distributed meter surveying is taken as an illustrative example of successful use. The introduced solution was implemented to process and analyze the results of electrical meters that are manually monitored by a group of patrol personnel inspectors using hand held devices. The results of development and testing show how the quality of neural network used for meter processing can be improved in practice.https://www.fruct.org/publications/fruct27/files/Iva.pdfimage recognitionneural networksmeters surveyingphoto fixationdistributed architecture |
| spellingShingle | Anton Ivaschenko Arkadiy Krivosheev Denis Sveshnikov Nikita Svechkov Tatiana Feschenko Yuliya Tyshkovskaya Alexandr Chuvakov Intelligent Recognition in Automated Meters Surveying Proceedings of the XXth Conference of Open Innovations Association FRUCT image recognition neural networks meters surveying photo fixation distributed architecture |
| title | Intelligent Recognition in Automated Meters Surveying |
| title_full | Intelligent Recognition in Automated Meters Surveying |
| title_fullStr | Intelligent Recognition in Automated Meters Surveying |
| title_full_unstemmed | Intelligent Recognition in Automated Meters Surveying |
| title_short | Intelligent Recognition in Automated Meters Surveying |
| title_sort | intelligent recognition in automated meters surveying |
| topic | image recognition neural networks meters surveying photo fixation distributed architecture |
| url | https://www.fruct.org/publications/fruct27/files/Iva.pdf |
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