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Configurable hardware core for IoT object detection

2021-10-30Journal article Open access
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dc.contributor.authorMiranda, Pedro R.
dc.contributor.authorPestana, Daniel
dc.contributor.authorD. Lopes, João
dc.contributor.authorDuarte, Rui Policarpo
dc.contributor.authorVéstias, Mário
dc.contributor.authorNeto, Horácio C
dc.contributor.authorDe Sousa, Jose
dc.date.accessioned2021-11-04T10:46:31Z
dc.date.available2021-11-04T10:46:31Z
dc.date.issued2021-10-30
dc.descriptionEste trabalho foi financiado pelo Concurso Anual para Projetos de Investigação, Desenvolvimento, Inovação e Criação Artística (IDI&CA) 2020 do Instituto Politécnico de Lisboa. Código de referência IPL/2020/TRAINEE/ISEL
dc.description.abstractObject detection is an important task for many applications, like transportation, security, and medical applications. Many of these applications are needed on edge devices to make local decisions. Therefore, it is necessary to provide low-cost, fast solutions for object detection. This work proposes a configurable hardware core on a field-programmable gate array (FPGA) for object detection. The configurability of the core allows its deployment on target devices with diverse hardware resources. The object detection accelerator is based on YOLO, for its good accuracy at moderate computational complexity. The solution was applied to the design of a core to accelerate the Tiny-YOLOv3, based on a CNN developed for constrained environments. However, it can be applied to other YOLO versions. The core was integrated into a full system-on-chip solution and tested with the COCO dataset. It achieved a performance from 7 to 14 FPS in a low-cost ZYNQ7020 FPGA, depending on the quantization, with an accuracy reduction from 2.1 to 1.4 points of mAP50.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMIRANDA, Pedro R.; [et al] – Configurable hardware core for IoT object detection. Future Internet. eISSN 1999-5903. Vol. 13, N.º 11 (2021), pp. 1-20pt_PT
dc.identifier.doi10.3390/fi13110280pt_PT
dc.identifier.eissn1999-5903
dc.identifier.urihttp://hdl.handle.net/10400.21/13952
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationUIDB/50021/2020 - FCTpt_PT
dc.relationPTDC/EEI-HAC/30848/2017 - FCTpt_PT
dc.relationProjeto financiado no âmbito do Concurso de Projetos de Investigação, Desenvolvimento, Inovação & Criação Artística (IDI&CA) financiados pelo Instituto Politécnico de Lisboa. IPL/2020/TRAINEE/ISELpt_PT
dc.subjectInternet of Thingspt_PT
dc.subjectObject detectionpt_PT
dc.subjectYOLOpt_PT
dc.subjectFPGApt_PT
dc.titleConfigurable hardware core for IoT object detectionpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage20pt_PT
oaire.citation.issue11pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleFuture Internetpt_PT
oaire.citation.volume13pt_PT
person.familyNameD. Lopes
person.familyNameDuarte
person.familyNameVéstias
person.familyNameCláudio de Campos Neto
person.familyNamede Sousa
person.givenNameJoão
person.givenNameRui
person.givenNameMário
person.givenNameHorácio
person.givenNameJose
person.identifier.ciencia-id8E19-37E3-AF01
person.identifier.ciencia-idB91E-770F-19A3
person.identifier.ciencia-id4717-C2C7-3F2C
person.identifier.ciencia-id9915-3BDF-5C35
person.identifier.ciencia-idBE18-E262-E0EC
person.identifier.orcid0000-0002-8903-9715
person.identifier.orcid0000-0002-7060-4745
person.identifier.orcid0000-0001-8556-4507
person.identifier.orcid0000-0002-3621-8322
person.identifier.orcid0000-0001-7525-7546
person.identifier.ridI-4402-2015
person.identifier.ridH-9953-2012
person.identifier.ridL-6859-2015
person.identifier.scopus-author-id24823991600
person.identifier.scopus-author-id14525867300
person.identifier.scopus-author-id7102813024
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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