DEVELOPMENT OF AN ALGORITHM OF ARTIFICIAL VISION FOR AREAS SENSITIVE IN INDUSTRIES (#477)

Authors

León León, Ryan Abraham

Bocanegra Samanamud, Allison Nicole

Gil Aguilar, Shayna Michelle

Vega Sánchez, Jesús

Abstract

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%.