TY - GEN
T1 - DESARROLLO DE UN ALGORITMO DE VISIÓN ARTIFICIAL PARA EL RECONOCIMIENTO DEL CORRECTO USO DE EPPS
AU - León, Ryan Abraham León
AU - Montero, Jessica Ayme León
N1 - Publisher Copyright:
© 2024 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2024
Y1 - 2024
N2 - In this study, details the creation of a computer vision algorithm to verify the proper use of personal protective equipment (EPP). Using convolutional neural networks (CNN) together with tools such as Python 3.12 and YOLO V8, the system has been developed to identify in real time whether a person is wearing a mask and a headgear correctly. The accuracy of the system has been high thanks to its thorough training and validation, reaching a 96.57% validation rate. This approach is crucial to ensure that industries comply with Good Manufacturing Practices (GMP), thus guaranteeing consumer health and product quality. The development of the program included the installation and use of libraries such as OpenCV, Roboflow, MTCNN, Matplotlib, Imutils, Numpy and OS, which facilitated the detection of faces and EPPs, with training based on a database of more than 1500 labeled images.
AB - In this study, details the creation of a computer vision algorithm to verify the proper use of personal protective equipment (EPP). Using convolutional neural networks (CNN) together with tools such as Python 3.12 and YOLO V8, the system has been developed to identify in real time whether a person is wearing a mask and a headgear correctly. The accuracy of the system has been high thanks to its thorough training and validation, reaching a 96.57% validation rate. This approach is crucial to ensure that industries comply with Good Manufacturing Practices (GMP), thus guaranteeing consumer health and product quality. The development of the program included the installation and use of libraries such as OpenCV, Roboflow, MTCNN, Matplotlib, Imutils, Numpy and OS, which facilitated the detection of faces and EPPs, with training based on a database of more than 1500 labeled images.
KW - Computer Vision Algorithm
KW - Convolutional Neural Networks (CNN)
KW - EPP
KW - Python 3.12
KW - YOLO V8
UR - https://www.scopus.com/pages/publications/85217264391
U2 - 10.18687/LEIRD2024.1.1.874
DO - 10.18687/LEIRD2024.1.1.874
M3 - Contribución a la conferencia
AN - SCOPUS:85217264391
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - Proceedings of the 4th LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development
A2 - Larrondo Petrie, Maria M.
A2 - Texier, Jose
A2 - Matta, Rodolfo Andres Rivas
T2 - 4th LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2024
Y2 - 2 December 2024 through 4 December 2024
ER -