Loading…
Action Recognition of Industrial Workers using Detectron2 and AutoML Algorithms
In this work conducted by two partners called UFAM/CETELI and Envision (TPV Group) we propose to address the problem of recognizing product assembly actions effectively performed by workers on an industrial production line. In this scenario where we created a complete video database we propose a sys...
Saved in:
| Main Authors: | , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Conference Proceeding |
| Language: | English |
| Subjects: | |
| Online Access: | Request full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| cited_by | |
|---|---|
| cites | |
| container_end_page | 322 |
| container_issue | |
| container_start_page | 321 |
| container_title | |
| container_volume | |
| creator | Silva, Mateus O. Valadao, Myke D.M. Cavalcante, Victor L.G. Santos, Adriel V. Torres, Gustavo M. Mattos, Edma V.C.U. Pereira, Antonio M.C. Uchoa, Matheus S. Torres, Lucas M. Linhares, Jose E.B.S. Silva, Nilo E.M. Silva, Agemilson P. Cruz, Caio F.S. Romulo, S.F. Belem, Ruan J.S. Bezerra, Thiago B. Waldir, S.S. Carvalho, Celso B. |
| description | In this work conducted by two partners called UFAM/CETELI and Envision (TPV Group) we propose to address the problem of recognizing product assembly actions effectively performed by workers on an industrial production line. In this scenario where we created a complete video database we propose a system which uses the Detectron2 and AutoML algorithms which is capable of performing training (to recognize assembly actions) and executing the trained algorithms. In terms of performance the fee was equal to approximately 92% |
| doi_str_mv | 10.1109/ICCE-Taiwan55306.2022.9869197 |
| format | conference_proceeding |
| fullrecord | <record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_9869197</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9869197</ieee_id><sourcerecordid>9869197</sourcerecordid><originalsourceid>FETCH-LOGICAL-i133t-894171eeaa84deb0eb97c7e7f6681c917b0b8c2af06b84cf503c309bb8ea58dd3</originalsourceid><addsrcrecordid>eNotj0tLAzEYAKMgWGt_gZdcPG79kmxex2V9FSoFqeitJNlsjbaJJCnivxe0p5nTwCB0TWBOCOibRd_fNWsTvk3knIGYU6B0rpXQRMsTdEGE4K0EDm-naEK55I2iqj1Hs1I-AIARDUD0BK06V0OK-Nm7tI3hz9OIF3E4lJqD2eHXlD99LvhQQtziW1-9qzlFik0ccHeo6WmJu9025VDf9-USnY1mV_zsyCl6ub9b94_NcvWw6LtlEwhjtVG6JZJ4b4xqB2_BWy2d9HIUQhGnibRglaNmBGFV60YOzDHQ1ipvuBoGNkVX_93gvd985bA3-Wdz_Ge_UNRTag</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Action Recognition of Industrial Workers using Detectron2 and AutoML Algorithms</title><source>IEEE Xplore All Conference Series</source><creator>Silva, Mateus O. ; Valadao, Myke D.M. ; Cavalcante, Victor L.G. ; Santos, Adriel V. ; Torres, Gustavo M. ; Mattos, Edma V.C.U. ; Pereira, Antonio M.C. ; Uchoa, Matheus S. ; Torres, Lucas M. ; Linhares, Jose E.B.S. ; Silva, Nilo E.M. ; Silva, Agemilson P. ; Cruz, Caio F.S. ; Romulo, S.F. ; Belem, Ruan J.S. ; Bezerra, Thiago B. ; Waldir, S.S. ; Carvalho, Celso B.</creator><creatorcontrib>Silva, Mateus O. ; Valadao, Myke D.M. ; Cavalcante, Victor L.G. ; Santos, Adriel V. ; Torres, Gustavo M. ; Mattos, Edma V.C.U. ; Pereira, Antonio M.C. ; Uchoa, Matheus S. ; Torres, Lucas M. ; Linhares, Jose E.B.S. ; Silva, Nilo E.M. ; Silva, Agemilson P. ; Cruz, Caio F.S. ; Romulo, S.F. ; Belem, Ruan J.S. ; Bezerra, Thiago B. ; Waldir, S.S. ; Carvalho, Celso B.</creatorcontrib><description>In this work conducted by two partners called UFAM/CETELI and Envision (TPV Group) we propose to address the problem of recognizing product assembly actions effectively performed by workers on an industrial production line. In this scenario where we created a complete video database we propose a system which uses the Detectron2 and AutoML algorithms which is capable of performing training (to recognize assembly actions) and executing the trained algorithms. In terms of performance the fee was equal to approximately 92%</description><identifier>EISSN: 2575-8284</identifier><identifier>EISBN: 166547050X</identifier><identifier>EISBN: 9781665470506</identifier><identifier>DOI: 10.1109/ICCE-Taiwan55306.2022.9869197</identifier><language>eng</language><publisher>IEEE</publisher><subject>Approximation algorithms ; Classification algorithms ; Consumer electronics ; Production ; Training</subject><ispartof>2022 IEEE International Conference on Consumer Electronics - Taiwan, 2022, p.321-322</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9869197$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,23930,23931,25140,27925,54555,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9869197$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Silva, Mateus O.</creatorcontrib><creatorcontrib>Valadao, Myke D.M.</creatorcontrib><creatorcontrib>Cavalcante, Victor L.G.</creatorcontrib><creatorcontrib>Santos, Adriel V.</creatorcontrib><creatorcontrib>Torres, Gustavo M.</creatorcontrib><creatorcontrib>Mattos, Edma V.C.U.</creatorcontrib><creatorcontrib>Pereira, Antonio M.C.</creatorcontrib><creatorcontrib>Uchoa, Matheus S.</creatorcontrib><creatorcontrib>Torres, Lucas M.</creatorcontrib><creatorcontrib>Linhares, Jose E.B.S.</creatorcontrib><creatorcontrib>Silva, Nilo E.M.</creatorcontrib><creatorcontrib>Silva, Agemilson P.</creatorcontrib><creatorcontrib>Cruz, Caio F.S.</creatorcontrib><creatorcontrib>Romulo, S.F.</creatorcontrib><creatorcontrib>Belem, Ruan J.S.</creatorcontrib><creatorcontrib>Bezerra, Thiago B.</creatorcontrib><creatorcontrib>Waldir, S.S.</creatorcontrib><creatorcontrib>Carvalho, Celso B.</creatorcontrib><title>Action Recognition of Industrial Workers using Detectron2 and AutoML Algorithms</title><title>2022 IEEE International Conference on Consumer Electronics - Taiwan</title><addtitle>ICCE-TAIWAN</addtitle><description>In this work conducted by two partners called UFAM/CETELI and Envision (TPV Group) we propose to address the problem of recognizing product assembly actions effectively performed by workers on an industrial production line. In this scenario where we created a complete video database we propose a system which uses the Detectron2 and AutoML algorithms which is capable of performing training (to recognize assembly actions) and executing the trained algorithms. In terms of performance the fee was equal to approximately 92%</description><subject>Approximation algorithms</subject><subject>Classification algorithms</subject><subject>Consumer electronics</subject><subject>Production</subject><subject>Training</subject><issn>2575-8284</issn><isbn>166547050X</isbn><isbn>9781665470506</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2022</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj0tLAzEYAKMgWGt_gZdcPG79kmxex2V9FSoFqeitJNlsjbaJJCnivxe0p5nTwCB0TWBOCOibRd_fNWsTvk3knIGYU6B0rpXQRMsTdEGE4K0EDm-naEK55I2iqj1Hs1I-AIARDUD0BK06V0OK-Nm7tI3hz9OIF3E4lJqD2eHXlD99LvhQQtziW1-9qzlFik0ccHeo6WmJu9025VDf9-USnY1mV_zsyCl6ub9b94_NcvWw6LtlEwhjtVG6JZJ4b4xqB2_BWy2d9HIUQhGnibRglaNmBGFV60YOzDHQ1ipvuBoGNkVX_93gvd985bA3-Wdz_Ge_UNRTag</recordid><startdate>20220706</startdate><enddate>20220706</enddate><creator>Silva, Mateus O.</creator><creator>Valadao, Myke D.M.</creator><creator>Cavalcante, Victor L.G.</creator><creator>Santos, Adriel V.</creator><creator>Torres, Gustavo M.</creator><creator>Mattos, Edma V.C.U.</creator><creator>Pereira, Antonio M.C.</creator><creator>Uchoa, Matheus S.</creator><creator>Torres, Lucas M.</creator><creator>Linhares, Jose E.B.S.</creator><creator>Silva, Nilo E.M.</creator><creator>Silva, Agemilson P.</creator><creator>Cruz, Caio F.S.</creator><creator>Romulo, S.F.</creator><creator>Belem, Ruan J.S.</creator><creator>Bezerra, Thiago B.</creator><creator>Waldir, S.S.</creator><creator>Carvalho, Celso B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20220706</creationdate><title>Action Recognition of Industrial Workers using Detectron2 and AutoML Algorithms</title><author>Silva, Mateus O. ; Valadao, Myke D.M. ; Cavalcante, Victor L.G. ; Santos, Adriel V. ; Torres, Gustavo M. ; Mattos, Edma V.C.U. ; Pereira, Antonio M.C. ; Uchoa, Matheus S. ; Torres, Lucas M. ; Linhares, Jose E.B.S. ; Silva, Nilo E.M. ; Silva, Agemilson P. ; Cruz, Caio F.S. ; Romulo, S.F. ; Belem, Ruan J.S. ; Bezerra, Thiago B. ; Waldir, S.S. ; Carvalho, Celso B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i133t-894171eeaa84deb0eb97c7e7f6681c917b0b8c2af06b84cf503c309bb8ea58dd3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Approximation algorithms</topic><topic>Classification algorithms</topic><topic>Consumer electronics</topic><topic>Production</topic><topic>Training</topic><toplevel>online_resources</toplevel><creatorcontrib>Silva, Mateus O.</creatorcontrib><creatorcontrib>Valadao, Myke D.M.</creatorcontrib><creatorcontrib>Cavalcante, Victor L.G.</creatorcontrib><creatorcontrib>Santos, Adriel V.</creatorcontrib><creatorcontrib>Torres, Gustavo M.</creatorcontrib><creatorcontrib>Mattos, Edma V.C.U.</creatorcontrib><creatorcontrib>Pereira, Antonio M.C.</creatorcontrib><creatorcontrib>Uchoa, Matheus S.</creatorcontrib><creatorcontrib>Torres, Lucas M.</creatorcontrib><creatorcontrib>Linhares, Jose E.B.S.</creatorcontrib><creatorcontrib>Silva, Nilo E.M.</creatorcontrib><creatorcontrib>Silva, Agemilson P.</creatorcontrib><creatorcontrib>Cruz, Caio F.S.</creatorcontrib><creatorcontrib>Romulo, S.F.</creatorcontrib><creatorcontrib>Belem, Ruan J.S.</creatorcontrib><creatorcontrib>Bezerra, Thiago B.</creatorcontrib><creatorcontrib>Waldir, S.S.</creatorcontrib><creatorcontrib>Carvalho, Celso B.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Silva, Mateus O.</au><au>Valadao, Myke D.M.</au><au>Cavalcante, Victor L.G.</au><au>Santos, Adriel V.</au><au>Torres, Gustavo M.</au><au>Mattos, Edma V.C.U.</au><au>Pereira, Antonio M.C.</au><au>Uchoa, Matheus S.</au><au>Torres, Lucas M.</au><au>Linhares, Jose E.B.S.</au><au>Silva, Nilo E.M.</au><au>Silva, Agemilson P.</au><au>Cruz, Caio F.S.</au><au>Romulo, S.F.</au><au>Belem, Ruan J.S.</au><au>Bezerra, Thiago B.</au><au>Waldir, S.S.</au><au>Carvalho, Celso B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Action Recognition of Industrial Workers using Detectron2 and AutoML Algorithms</atitle><btitle>2022 IEEE International Conference on Consumer Electronics - Taiwan</btitle><stitle>ICCE-TAIWAN</stitle><date>2022-07-06</date><risdate>2022</risdate><spage>321</spage><epage>322</epage><pages>321-322</pages><eissn>2575-8284</eissn><eisbn>166547050X</eisbn><eisbn>9781665470506</eisbn><abstract>In this work conducted by two partners called UFAM/CETELI and Envision (TPV Group) we propose to address the problem of recognizing product assembly actions effectively performed by workers on an industrial production line. In this scenario where we created a complete video database we propose a system which uses the Detectron2 and AutoML algorithms which is capable of performing training (to recognize assembly actions) and executing the trained algorithms. In terms of performance the fee was equal to approximately 92%</abstract><pub>IEEE</pub><doi>10.1109/ICCE-Taiwan55306.2022.9869197</doi><tpages>2</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | EISSN: 2575-8284 |
| ispartof | 2022 IEEE International Conference on Consumer Electronics - Taiwan, 2022, p.321-322 |
| issn | 2575-8284 |
| language | eng |
| recordid | cdi_ieee_primary_9869197 |
| source | IEEE Xplore All Conference Series |
| subjects | Approximation algorithms Classification algorithms Consumer electronics Production Training |
| title | Action Recognition of Industrial Workers using Detectron2 and AutoML Algorithms |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T05%3A21%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Action%20Recognition%20of%20Industrial%20Workers%20using%20Detectron2%20and%20AutoML%20Algorithms&rft.btitle=2022%20IEEE%20International%20Conference%20on%20Consumer%20Electronics%20-%20Taiwan&rft.au=Silva,%20Mateus%20O.&rft.date=2022-07-06&rft.spage=321&rft.epage=322&rft.pages=321-322&rft.eissn=2575-8284&rft_id=info:doi/10.1109/ICCE-Taiwan55306.2022.9869197&rft.eisbn=166547050X&rft.eisbn_list=9781665470506&rft_dat=%3Cieee_CHZPO%3E9869197%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i133t-894171eeaa84deb0eb97c7e7f6681c917b0b8c2af06b84cf503c309bb8ea58dd3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=9869197&rfr_iscdi=true |