Saltar al contenido
República del Perú · Observatorio de la producción científica universitaria
OApol.org Observatorio de Inteligencia Científica Universitaria del Perú
OApol.org
Inicio Universidades Publicaciones Investigadores
Repositorios
Tesis y trabajos académicosRevistas
Indicadores
Ranking trimestralRanking por carreraObjetivos de Desarrollo SostenibleReporte OCDERed neuronal 3D
Acerca
MetodologíaPrivacidad

Implementation of an Egg Classifier by Weight Using the Python Program

León León R.A.; Jacinto Paredes A.M.; Rojas Pérez A.L. · CISCI 2023 - Vigesima Segunda Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, Vigesimo Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2023 - Memorias (2023) · DOI: 10.54808/cisci2023.01.161

Resumen

This research work is based on the implementation of an automated system for classifying eggs by their size. The automation process is based on a computer system coded in the Python language, aiming to streamline the time required for classifying each egg unit, no longer based on its weight but more autonomously, defining it by its size through a camera that captures real-time data of the egg's area. By doing this, the system determines which group the analyzed product belongs to. This paper also describes the processes carried out using the Python language, including libraries and programming in general, explaining in technical terms its implementation in the poultry production industry.

Instituciones: Universidad Privada del Norte