dc.creatorda Cruz Alexandrino J.
dc.creatorHermini A.H.
dc.creatorLepikson H.A.
dc.creatorde Araujo Kalid R.
dc.creatorLeite H.J.D.
dc.date2011
dc.date2015-06-30T20:17:54Z
dc.date2015-11-26T14:47:42Z
dc.date2015-06-30T20:17:54Z
dc.date2015-11-26T14:47:42Z
dc.date.accessioned2018-03-28T21:58:17Z
dc.date.available2018-03-28T21:58:17Z
dc.identifier
dc.identifierRevista Brasileira De Engenharia Biomedica. , v. 27, n. 2, p. 110 - 115, 2011.
dc.identifier15173151
dc.identifier10.4322/rbeb.2011.010
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-82555182730&partnerID=40&md5=c54c5632e005e0b0851438223c281e36
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/107482
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/107482
dc.identifier2-s2.0-82555182730
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1253388
dc.descriptionThis paper presents the development of an application for capturing an image of numeric displays, recognizing the digits contained therein and transferring them to an automation system that manages metrological performance tests on different types of medical equipment. Using a webcam and the Delphi® development tool, an algorithm was created based on segmentation of the digits and counting of the points contained in each segment. This counting results in a numerical set, a kind of signature of the digit. The software has the phases of training and recognition, as well as an evaluation mode. Three tests were applied to evaluate the performance of the application. At first, ten thousand different values were generated and recognized using three webcams of different manufacturers. In the second, using three different equipments, there was the recognition of 100 different readings and the hit rate verified by visual comparison. In the third, the application was set for recognizing the temperature indicated on the display of a neonatal incubator and controlled through the communication interface between applications, by a prototype version of a management system of medical equipment assays. Tests conducted in the first way resulted in a hit rate of 100% for two webcams and 99.96% for a third. In other tests the hit rate was 100%, demonstrating that the application is feasible and safe.
dc.description27
dc.description2
dc.description110
dc.description115
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dc.languageen
dc.languagept
dc.publisher
dc.relationRevista Brasileira de Engenharia Biomedica
dc.rightsaberto
dc.sourceScopus
dc.titleDigit Recognition Applied To The Automation Of Evaluation Of Medical Equipment [reconhecimento De Dígitos Aplicado à Automação De Ensaios Em Equipamentos Medicos]
dc.typeArtículos de revistas


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