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

Robust System for Counting Han-Type E and D Pins Using Inductive and Photoelectric Sensors

Silva J.M.E.; Holguin S.A.P.; Acosta A.K.N.; Felipe J.L.B.; Vilcarromero J.J.F. · International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2025 (2025) · DOI: 10.1109/iceccme64568.2025.11277506

Resumen

Industrial process automation demands high levels of accuracy and efficiency, particularly in tasks involving the counting and packaging of small and delicate components such as pins. In this context, the present study introduces the design and implementation of an automated system for the precise counting of HAN-type D and E pins. These pins are commonly used in industrial connectors due to their mechanical reliability and efficient electrical transmission.The HAN D pin features a smaller diameter, an approximate weight of 0.55 g, and a stripping length of 8 mm, making it more prone to irregular movement and false counts. The HAN E pin, by contrast, is more robust, with a greater cross-sectional area, a weight of approximately 1.26 g, and a stripping length of 7.5 mm, facilitating its detection. Despite their physical differences, both types require an equivalent level of sensory sophistication due to their cylindrical shape, high density, and compact size.The proposed system employs photoelectric sensors to detect pin passage and inductive sensors to validate the metallic nature of the object, thereby improving counting accuracy. This dual-sensor configuration, connected to a programmable logic controller (PLC), reduces errors caused by unwanted objects and ensures reliable operation under adverse industrial conditions, such as dust or variable lighting.The primary objective is to maintain a margin of error equal to or lower than that of manual counting methods. Additionally, the system architecture prioritizes operational efficiency and low implementation cost, offering a practical solution for industrial environments that require precise handling of small components.

Instituciones: Universidad Peruana de Ciencias Aplicadas