Abstracto
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ABSTRACT
According to the most important safety and standards agency in the United States and adopted by most Latin American countries, the NFPA, several dozen people died from electrocution in 2021 alone. This work seeks to address the problem of preventive maintenance of electrical outlets in a home or industry to avoid accidents. To help solve the problem, artificial intelligence techniques are used to determine when an outlet needs maintenance. We start from the concept that preventive maintenance is a relevant factor to avoid fatal endings, especially in homes where children live, who, due to their curious nature, can be affected. This work makes use of artificial neural network architectures for image classification. 94 RISTI, N.º E57, 04/2023 Identificación de necesidad de mantenimiento preventivo de tomacorrientes utilizando inteligencia artificial The experimental results presented show that the model can achieve good accuracy in classifying the conditions of the Electrical Outlets.
AUTHORS
Edmanuel Cruz1
Jorge Castillo-Cruz
Adiz Mariel Acosta Reyes
José Carlos Rangel2