TY - GEN
T1 - DEVELOPMENT OF AN ALGORITHM OF ARTIFICIAL VISION FOR AREAS SENSITIVE IN INDUSTRIES
AU - León, Ryan Abraham León
AU - Samanamud, Allison Nicole Bocanegra
AU - Aguilar, Shayna Michelle Gil
AU - Sánchez, Jesús Vega
N1 - Publisher Copyright:
© 2023 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2023
Y1 - 2023
N2 - 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%.
AB - 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%.
KW - algorithms
KW - Artificial vision
KW - facial recognition
KW - motion detection
KW - Python
UR - https://www.scopus.com/pages/publications/85187257763
U2 - 10.18687/LEIRD2023.1.1.477
DO - 10.18687/LEIRD2023.1.1.477
M3 - Conference contribution
AN - SCOPUS:85187257763
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - Proceedings of the 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development
T2 - 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2023
Y2 - 4 December 2023 through 6 December 2023
ER -