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https://hdl.handle.net/1822/89606
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Campo DC | Valor | Idioma |
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dc.contributor.author | Silva, Daniel | por |
dc.contributor.author | Lopes, Ana Patrícia Ribeiro | por |
dc.contributor.author | Costa, Daniel | por |
dc.contributor.author | Cabral, José | por |
dc.contributor.author | Silva, Carlos A. | por |
dc.contributor.author | Lopes, Sérgio F. | por |
dc.date.accessioned | 2024-03-15T14:45:52Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | D. Silva, A. P. Lopes, D. Costa, J. Cabral, C. A. Silva and S. Lopes, "A dataflow execution engine for automatic visual inspection of production lines," IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, Brussels, Belgium, 2022, pp. 1-6, doi: 10.1109/IECON49645.2022.9969094. | por |
dc.identifier.isbn | 978-1-6654-8025-3 | - |
dc.identifier.uri | https://hdl.handle.net/1822/89606 | - |
dc.description.abstract | Automatic visual inspection is used to control the quality of the assembly steps of a product. By allowing the early detection of faults in the production line, it can have a large economic impact. In this work, we propose an execution environment for supporting the development of automatic visual inspection applications and running them in the production line. The applications are described as graphs, which are executed by the engine. Debugging features for use during development and production are provided. Also, the engine provides means to trace the results, such that a fault detected after production could be traced to the cause. Another key aspect is the seemingly integration of external libraries to extend the modeling capacity of the applications. As an example, we describe the integration of the Halcon library and its use in a test case. Our approach accelerates the creation of complex algorithms for visual inspection by eliminating compilation steps and improving the debugging experience. | por |
dc.description.sponsorship | This work was supported by project “ITEC Smart Automation I4.0”, FEDER with the reference NORTE-01-0247-FEDER-045073, POR Norte, Portugal 2020. | por |
dc.language.iso | eng | por |
dc.publisher | IEEE | por |
dc.rights | restrictedAccess | por |
dc.subject | Execution engine | por |
dc.subject | Dataflow programming | por |
dc.subject | Directed acyclic graph | por |
dc.subject | Computer vision | por |
dc.subject | IDE | por |
dc.title | A dataflow execution engine for automatic visual inspection of production lines | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
oaire.citationConferencePlace | Brussels, Belgium | por |
oaire.citationVolume | 2022-October | por |
dc.identifier.doi | 10.1109/IECON49645.2022.9969094 | por |
dc.date.embargo | 10000-01-01 | - |
sdum.conferencePublication | IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society | por |
oaire.version | VoR | por |
Aparece nas coleções: | CMEMS - Artigos em livros de atas/Papers in proceedings |
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A_dataflow_execution_engine_for_automatic_visual_inspection_of_production_lines.pdf Acesso restrito! | 274,99 kB | Adobe PDF | Ver/Abrir |