Mobile Application for the Identification of Street Dogs Using Image Recognition Based on Machine Learning

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Auteur principal: Michelle Stephanie Rojas Miñan
Format: Artículo científico
Langue:en
Publié: Universidad del Norte 2021
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author Michelle Stephanie Rojas Miñan
author_facet Michelle Stephanie Rojas Miñan
contents Mobile Application for the Identification of Street Dogs Using Image Recognition Based on Machine Learning Michelle Stephanie Rojas Miñan Juan Jhair Rodríguez Dávila Lenis Rossi Wong Portillo Ingeniería lost dogs street dogs AutoML Vision machine learning image recognition The population of stray dogs increases every year, which is why technologies, protocols, and legislative projects have been implemented in different countries to stop it. The objective of this research is to make use of image recognition (machine learning) to optimize the identification of stray dogs that are in a state of loss. The implemented methodology consists of 4 phases: approach to the research questions, generation of the model via machine learning, development of the mobile application where the generated model was integrated, and validation of the proposal with 2 case studies. From the results of the validation, it was found that our proposal managed to optimize the time and precision in the identification of lost dogs by 45%, compared to other web platforms. 2021 artículo científico 0122-3461 https://www.redalyc.org/articulo.oa?id=85269429006 https://www.redalyc.org/journal/852/85269429006/ https://www.redalyc.org/journal/852/85269429006/html/ https://www.redalyc.org/journal/852/85269429006/85269429006.epub https://www.redalyc.org/journal/852/85269429006/movil 10.14482/inde.39.1.006.31 en http://www.redalyc.org/revista.oa?id=852 Ingeniería y Desarrollo application/pdf Universidad del Norte Ingeniería y Desarrollo (Colombia) Num.1 Vol.39
format Artículo científico
id redalyc_85269429006
institution Redalyc
language en
publishDate 2021
publisher Universidad del Norte
spellingShingle Mobile Application for the Identification of Street Dogs Using Image Recognition Based on Machine Learning
Michelle Stephanie Rojas Miñan
Ingeniería
lost dogs
street dogs
AutoML Vision
machine learning
image recognition
Mobile Application for the Identification of Street Dogs Using Image Recognition Based on Machine Learning Michelle Stephanie Rojas Miñan Juan Jhair Rodríguez Dávila Lenis Rossi Wong Portillo Ingeniería lost dogs street dogs AutoML Vision machine learning image recognition The population of stray dogs increases every year, which is why technologies, protocols, and legislative projects have been implemented in different countries to stop it. The objective of this research is to make use of image recognition (machine learning) to optimize the identification of stray dogs that are in a state of loss. The implemented methodology consists of 4 phases: approach to the research questions, generation of the model via machine learning, development of the mobile application where the generated model was integrated, and validation of the proposal with 2 case studies. From the results of the validation, it was found that our proposal managed to optimize the time and precision in the identification of lost dogs by 45%, compared to other web platforms. 2021 artículo científico 0122-3461 https://www.redalyc.org/articulo.oa?id=85269429006 https://www.redalyc.org/journal/852/85269429006/ https://www.redalyc.org/journal/852/85269429006/html/ https://www.redalyc.org/journal/852/85269429006/85269429006.epub https://www.redalyc.org/journal/852/85269429006/movil 10.14482/inde.39.1.006.31 en http://www.redalyc.org/revista.oa?id=852 Ingeniería y Desarrollo application/pdf Universidad del Norte Ingeniería y Desarrollo (Colombia) Num.1 Vol.39
title Mobile Application for the Identification of Street Dogs Using Image Recognition Based on Machine Learning
topic Ingeniería
lost dogs
street dogs
AutoML Vision
machine learning
image recognition
url https://www.redalyc.org/articulo.oa?id=85269429006
https://www.redalyc.org/journal/852/85269429006/
https://www.redalyc.org/journal/852/85269429006/html/
https://www.redalyc.org/journal/852/85269429006/85269429006.epub
https://www.redalyc.org/journal/852/85269429006/movil