Resumen

ROJAS MINAN, Michelle Stephanie; RODRIGUEZ DAVILA, Juan Jhair  y  PORTILLO, Lenis Rossi. Mobile Application for the Identification of Street Dogs Using Image Recognition Based on Machine Learning. Ing. Desarro. [online]. 2021, vol.39, n.1, pp.105-122.  Epub 22-Oct-2021. ISSN 0122-3461.  https://doi.org/10.14482/inde.39.1.006.31.

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.

Palabras clave : AutoML Vision; image recognition; lost dogs; machine learning; street dogs.

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