Mobile application for the calculation of electricity consumption in digital meter devices

• Autores: Tapia Sueldo, Bixbi, Ibarra Cabrera, Manuel Jesús
• Formato: artículo
• Fecha de Publicación: 2019
• Institución: Universidad Nacional Micaela Bastidas de Apurímac
• Repositorio: UNAMBA-Institucional
• Lenguaje: español
• OAI Identifier: oai:172.16.0.151:UNAMBA/778
• Enlace del recurso: http://repositorio.unamba.edu.pe/handle/UNAMBA/778
• Nivel de acceso: acceso abierto
• Materia: OCR; Lectura medidor; Aplicación móvil; Android; Luz; https://purl.org/pe-repo/ocde/ford#2.02.03

The purpose of this research was to develop a mobile application based on OCR (Optical Character Recognition), to reduce errors in the readings of electric power meters that are presented monthly in Electro Sur Este SAA company, which are harmful for customers, they are not satisfied with their invoices and have to make unnecessary expenses to correct the errors. The research was experimental with pre-test and post-test with a single group design. The SCRUM methodology was applied based on an iterative and incremental agile process. The sample was of 295 meters of users of the Province of Grau, district of Chuquibambilla that workswith CQ01 feeder. The results of Mobile Application usability for the reading the digital meters machine show that it was possible to reduce from 9 errors to 0 errors, and the time of reading and processing of data also decreased; the number of anomalous readings was also reduced, and finally the number of users’s complaints reduced from 18 to 9 related to excessive consumption. Finally, the conclusion is that Mobile Application based on Optical Character Recognition is a tool for the reduction of errors of readings of digital electric meters