Artificial verification system on the use of safety elements

Leon Leon R.; Esparza Salazar K.; Medina-Coloma A.; Rojas Bacilio J. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2023)

Resumen

This article shows the development process of a computer vision application for stationary computers through the Python 3.10.8 software, which verifies and detects if the person uses a surgical mask or cap (hair net or cap) or none of the surgical implements. safety, with the aim of identifying and supervising its correct use in work in the food industry. To start with the development of this program, libraries such as opencv, matplotlib, mediapipe, numpy, imutils and os were installed and used. Thus, these helped to detect faces and 3 programs were created: a program to obtain images (data) by means of video capture of images through the laptop camera, a neural network training program with the collected images and a program that detects and identifies the use or not of these implements. As results, after several tests, a 93.33% validation was obtained.

Instituciones: Universidad Privada del Norte