Artificial Vision Model Based on Deep Learning to Prevent Thefts in Real Estate

Autores/as

  • Ovalle, Christian

DOI:

https://doi.org/10.18687/LACCEI2023.1.1.936

Palabras clave:

Deep Learning, Artificial vision, Artificial intelligence, Facial recognition, Neural networks

Resumen

Artificial intelligence has become an increasingly present concept today. Terms such as Machine Learning or Deep Learning are frequently used in the development of technological projects. These can generate an impact in the solution of various social problems that, unfortunately, are experienced every day in many countries worldwide. One of them is citizen security, a problem that has been a setback, especially in less developed countries. Citizen insecurity has expanded so much that, over the years, large numbers of thefts have even been observed in people's real estate properties. However, as mentioned above, it is currently possible to develop technological models that can support the arrest of these criminal acts. Artificial vision is one of the many scientific disciplines of artificial intelligence, and with it it is possible to carry out a security project with the ability to detect faces and identify them as users known as possible suspects.

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Publicado

2023-07-27

Número

Sección

Articles

Licencia

Licencia Creative Commons

Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.

LACCEI conserva el copyright de todos los artículos publicados bajo los términos de su acuerdo de transferencia de copyright. Como titular del copyright, LACCEI distribuye los artículos al público bajo la Licencia Internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0 (CC BY-NC-SA 4.0).

Cómo citar

Ovalle, Christian. (2023). Artificial Vision Model Based on Deep Learning to Prevent Thefts in Real Estate. LACCEI, 1(8). https://doi.org/10.18687/LACCEI2023.1.1.936

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