DEVELOPMENT OF AN ALGORITHM OF ARTIFICIAL VISION FOR AREAS SENSITIVE IN INDUSTRIES
DOI:
https://doi.org/10.18687/LEIRD2023.1.1.477Palabras clave:
Artificial vision, algorithms, Python, facial recognition, motion detection.Resumen
In the present research work, artificial vision was applied to detect movements and faces, thus achieving greater control of sensitive areas in industries. All this through the development of algorithms, the use of the Python program, folders such as NumPy, Tkinter and a camera, since what was sought was to detect people when they are in motion, capture their faces and store them by taking photos. photos.Artificial vision allows for high efficiency since it allows working with the analysis of images of people in various sensitive areas of industries, since there are always places where access is restricted or require constant surveillance.Given this, the need to increase the efficiency and precision of control and surveillance systems arises, which works continuously for greater security.This research is intended to benefit industries in places that require constant supervision, providing an accessible solution with an efficiency of 94.60%.Descargas
Publicado
2023-12-12
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Derechos de autor 2023 LEIRD
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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
León León, R. A., Bocanegra Samanamud, A. N., Gil Aguilar, S. M., & Vega Sánchez, J. (2023). DEVELOPMENT OF AN ALGORITHM OF ARTIFICIAL VISION FOR AREAS SENSITIVE IN INDUSTRIES. LACCEI, 2(9). https://doi.org/10.18687/LEIRD2023.1.1.477