Publication
Human detector smart sensor for autonomous disinfection mobile robot
| Summary: | The COVID-19 virus outbreak led to the need of developing smart disinfection systems, not only to protect the people that usually frequent public spaces but also to protect those who have to subject themselves to the contaminated areas. In this paper it is developed a human detector smart sensor for autonomous disinfection mobile robot that use Ultra Violet C type light for the disinfection task and stops the disinfection system when a human is detected around the robot in all directions. UVC light is dangerous for humans and thus the need for a human detection system that will protect them by disabling the disinfection process, as soon as a person is detected. This system uses a Raspberry Pi Camera with a Single Shot Detector (SSD) Mobilenet neural network to identify and detect persons. It also has a FLIR 3.5 Thermal camera that measures temperatures that are used to detect humans when within a certain range of temperatures. The normal human skin temperature is the reference value for the range definition. The results show that the fusion of both sensors data improves the system performance, compared to when the sensors are used individually. One of the tests performed proves that the system is able to distinguish a person in a picture from a real person by fusing the thermal camera and the visible light camera data. The detection results validate the proposed system. |
|---|---|
| Main Authors: | Mendonça, Hugo |
| Other Authors: | Lima, José; Costa, Paulo Gomes da; Moreira, António Paulo G. M.; Santos, Filipe Neves |
| Subject: | Smart sensor Human detection Neural network |
| Year: | 2021 |
| Country: | Portugal |
| Document type: | conference paper |
| Access type: | restricted access |
| Associated institution: | Instituto Politécnico de Bragança |
| Language: | English |
| Origin: | Biblioteca Digital do IPB |
| _version_ | 1867173074660491264 |
|---|---|
| author | Mendonça, Hugo |
| author2 | Lima, José Costa, Paulo Gomes da Moreira, António Paulo G. M. Santos, Filipe Neves |
| author2_role | author author author author |
| author_facet | Mendonça, Hugo Lima, José Costa, Paulo Gomes da Moreira, António Paulo G. M. Santos, Filipe Neves |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Mendonça, Hugo\"},{\"Person.name\":\"Lima, José\",\"Person.identifier.orcid\":\"0000-0001-7902-1207\"},{\"Person.name\":\"Costa, Paulo Gomes da\"},{\"Person.name\":\"Moreira, António Paulo G. M.\"},{\"Person.name\":\"Santos, Filipe Neves\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Mendonça, Hugo Lima, José Costa, Paulo Gomes da Moreira, António Paulo G. M. Santos, Filipe Neves |
| datacite.date.Accepted.fl_str_mv | 2021-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2022-04-05T08:35:18Z |
| datacite.date.embargoed.fl_str_mv | 2022-04-05T08:35:18Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| datacite.subjects.subject.fl_str_mv | Smart sensor Human detection Neural network |
| datacite.titles.title.fl_str_mv | Human detector smart sensor for autonomous disinfection mobile robot |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Mendonça, Hugo Lima, José Costa, Paulo Gomes da Moreira, António Paulo G. M. Santos, Filipe Neves |
| dc.date.Accepted.fl_str_mv | 2021-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2022-04-05T08:35:18Z |
| dc.date.embargoed.fl_str_mv | 2022-04-05T08:35:18Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/25338 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Springer Nature |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| dc.subject.none.fl_str_mv | Smart sensor Human detection Neural network |
| dc.title.fl_str_mv | Human detector smart sensor for autonomous disinfection mobile robot |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | The COVID-19 virus outbreak led to the need of developing smart disinfection systems, not only to protect the people that usually frequent public spaces but also to protect those who have to subject themselves to the contaminated areas. In this paper it is developed a human detector smart sensor for autonomous disinfection mobile robot that use Ultra Violet C type light for the disinfection task and stops the disinfection system when a human is detected around the robot in all directions. UVC light is dangerous for humans and thus the need for a human detection system that will protect them by disabling the disinfection process, as soon as a person is detected. This system uses a Raspberry Pi Camera with a Single Shot Detector (SSD) Mobilenet neural network to identify and detect persons. It also has a FLIR 3.5 Thermal camera that measures temperatures that are used to detect humans when within a certain range of temperatures. The normal human skin temperature is the reference value for the range definition. The results show that the fusion of both sensors data improves the system performance, compared to when the sensors are used individually. One of the tests performed proves that the system is able to distinguish a person in a picture from a real person by fusing the thermal camera and the visible light camera data. The detection results validate the proposed system. |
| dirty | 0 |
| eu_rights_str_mv | restrictedAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/c3e780cf-f6fb-44be-b281-47076b99f2ad/download |
| funding.funder.alternateName_str_mv | FCT |
| funding.funder.identifier_str_mv | http://doi.org/10.13039/501100001871 |
| funding.funder.name_str_mv | Fundação para a Ciência e a Tecnologia |
| funding.name_str_mv | 6817 - DCRRNI ID |
| id | ipb_71ec4002aa87e2f483a5c7b37e14d7ee |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/25338 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
| network_acronym_str | ipb |
| network_name_str | Biblioteca Digital do IPB |
| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/25338 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Mendonça, Hugo Lima, José Lima, José https://www.ciencia-id.pt/6016-C902-86A9 6016-C902-86A9 http://orcid.org/0000-0001-7902-1207 0000-0001-7902-1207 Costa, Paulo Gomes da Moreira, António Paulo G. M. Santos, Filipe Neves |
| publishDate | 2021 |
| publisher.none.fl_str_mv | Springer Nature |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engSpringer Naturept_PTThe COVID-19 virus outbreak led to the need of developing smart disinfection systems, not only to protect the people that usually frequent public spaces but also to protect those who have to subject themselves to the contaminated areas. In this paper it is developed a human detector smart sensor for autonomous disinfection mobile robot that use Ultra Violet C type light for the disinfection task and stops the disinfection system when a human is detected around the robot in all directions. UVC light is dangerous for humans and thus the need for a human detection system that will protect them by disabling the disinfection process, as soon as a person is detected. This system uses a Raspberry Pi Camera with a Single Shot Detector (SSD) Mobilenet neural network to identify and detect persons. It also has a FLIR 3.5 Thermal camera that measures temperatures that are used to detect humans when within a certain range of temperatures. The normal human skin temperature is the reference value for the range definition. The results show that the fusion of both sensors data improves the system performance, compared to when the sensors are used individually. One of the tests performed proves that the system is able to distinguish a person in a picture from a real person by fusing the thermal camera and the visible light camera data. The detection results validate the proposed system.application/pdfpt_PTHuman detector smart sensor for autonomous disinfection mobile robotMendonça, HugoPersonalLima, JoséDSpacehttp://dspace.org/items/d88c2b2a-efc2-48ef-b1fd-1145475e0055DSpacehttp://dspace.org/items/d88c2b2a-efc2-48ef-b1fd-1145475e0055LimaJoséCiência IDhttps://www.ciencia-id.pt6016-C902-86A9ORCIDhttp://orcid.org0000-0001-7902-1207Researcher IDhttps://www.researcherid.comL-3370-2014Scopus Author IDhttps://www.scopus.com55851941311Costa, Paulo Gomes daMoreira, António Paulo G. M.Santos, Filipe NevesHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISBNIsPartOf978-3-030-91884-2DOIIsPartOf10.1007/978-3-030-91885-9_132022-04-05T08:35:18Z20212021-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/25338http://purl.org/coar/access_right/c_16ecrestricted accessSmart sensorHuman detectionNeural network2839525 bytesFundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Robotics6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871other research producthttp://purl.org/coar/resource_type/c_5794conference paper2021http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_16ecapplication/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/c3e780cf-f6fb-44be-b281-47076b99f2ad/downloadOptimization, learning algorithms and applications: first International Conference, OL2A 20211488171186 |
| spellingShingle | Human detector smart sensor for autonomous disinfection mobile robot Mendonça, Hugo Smart sensor Human detection Neural network |
| status | SINGLETON |
| subject.fl_str_mv | Smart sensor Human detection Neural network |
| title | Human detector smart sensor for autonomous disinfection mobile robot |
| title_full | Human detector smart sensor for autonomous disinfection mobile robot |
| title_fullStr | Human detector smart sensor for autonomous disinfection mobile robot |
| title_full_unstemmed | Human detector smart sensor for autonomous disinfection mobile robot |
| title_short | Human detector smart sensor for autonomous disinfection mobile robot |
| title_sort | Human detector smart sensor for autonomous disinfection mobile robot |
| topic | Smart sensor Human detection Neural network |
| topic_facet | Smart sensor Human detection Neural network |
| url | http://hdl.handle.net/10198/25338 |
| visible | 1 |