1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPEW34M/45DJ23H |
Repository | sid.inpe.br/sibgrapi/2021/09.10.14.22 |
Last Update | 2021:09.10.14.22.17 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2021/09.10.14.22.17 |
Metadata Last Update | 2022:09.10.00.16.17 (UTC) administrator |
Citation Key | RochaVPBAMSRSMN:2021:CoStMe |
Title | A Comparative Study of Methods based on Deep Neural Networks for Self-reading of Energy Consumption in a Chatbot Application Context |
Format | On-line |
Year | 2021 |
Access Date | 2024, Oct. 15 |
Number of Files | 1 |
Size | 877 KiB |
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2. Context | |
Author | 1 Rocha, Carlos Vinicios Martins 2 Vieira, Pedro Henrique Carvalho 3 Pinto, Antonio Moreira 4 Bernhard, Pedro Vinnicius 5 Anchieta Junior, Ricardo José Fernandes 6 Marques, Ricardo Costa da Silva 7 Silva, Italo Francyles Santos da 8 Rocha, Simara Vieira da 9 Silva, Aristófanes Corrêa 10 Monteiro, Eliana Márcia Garros 11 Nogueira, Hugo Daniel Castro Silva |
Affiliation | 1 Federal University of Maranhão 2 Federal University of Maranhão 3 Federal University of Maranhão 4 Federal University of Maranhão 5 Federal University of Maranhão 6 Federal University of Maranhão 7 Federal University of Maranhão 8 Federal University of Maranhão 9 Federal University of Maranhão 10 Equatorial Energy Group 11 Equatorial Energy Group |
Editor | Paiva, Afonso Menotti, David Baranoski, Gladimir V. G. Proença, Hugo Pedro Junior, Antonio Lopes Apolinario Papa, João Paulo Pagliosa, Paulo dos Santos, Thiago Oliveira e Sá, Asla Medeiros da Silveira, Thiago Lopes Trugillo Brazil, Emilio Vital Ponti, Moacir A. Fernandes, Leandro A. F. Avila, Sandra |
e-Mail Address | francyles@nca.ufma.br |
Conference Name | Conference on Graphics, Patterns and Images, 34 (SIBGRAPI) |
Conference Location | Gramado, RS, Brazil (virtual) |
Date | 18-22 Oct. 2021 |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Book Title | Proceedings |
Tertiary Type | Industry Application Paper |
History (UTC) | 2021-09-10 14:22:17 :: francyles@nca.ufma.br -> administrator :: 2022-09-10 00:16:17 :: administrator -> :: 2021 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | self-reading energy consumption chatbot application image processing deep learning |
Abstract | Self-reading is a process in which the consumer is responsible for measuring his own energy consumption, which can be done through digital platforms, such as websites or mobile applications. The Equatorial Energy group's electric utilities have been working on developing a chatbot application through which consumers can send an image of their energy meter to a server that runs a method based on image processing and deep learning for the automatic recognition of consumption reading. However, the incorporation of these methods in a solution available to the public should consider factors such as response time and accuracy, so that it presents a satisfactory response time when it needs to handle a large number of simultaneous requests. Therefore, this paper presents a comparative study between approaches developed for the automatic recognition of consumption readings in images of electric meters sent to the server. Response time performances are analyzed through stress tests that simulate the real application scenario. The mean average precision (mAP) and the accuracy metrics of the methods are also analyzed in order to evaluate the generalization of the used convolutional neural networks. |
Arrangement | urlib.net > SDLA > Fonds > SIBGRAPI 2021 > A Comparative Study... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPEW34M/45DJ23H |
zipped data URL | http://urlib.net/zip/8JMKD3MGPEW34M/45DJ23H |
Language | en |
Target File | Autoclara___Sibgrapi_2021___English__sem_subpastas_.pdf |
User Group | francyles@nca.ufma.br |
Visibility | shown |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/45PQ3RS |
Citing Item List | sid.inpe.br/sibgrapi/2021/11.12.11.46 76 sid.inpe.br/banon/2001/03.30.15.38.24 2 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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