TY - GEN
T1 - Diseño e Implementación de un Robot Paralelo tipo Delta con Visión Artificial para seguimiento de objetos
AU - César Llerena Sánchez, Julio
AU - Jaime Quispe Ccachuco, Marcelo
AU - Pio Castillo Cáceres, César
N1 - Publisher Copyright:
© 2024 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2024
Y1 - 2024
N2 - In the industry today it is very unusual to find that a robot performs tracking operations with the help of a camera applying artificial vision, however, there are countless applications where the combination of these concepts would be fabulous, such as in the arms industry, production, selection processes, etc.The present project consists of achieving the union of a delta-type parallel robot with an object recognition and tracking interface, which will be carried out with a camera with a resolution of 640 x 480 pixels, which will be more than enough for our application.Artificial vision will have a program that will allow us to recognize objects and discriminate them by color and size.It should be noted that, if greater precision is desired regarding the position of our object, it is possible to change the camera to one with higher resolution, since we will use the pixels as coordinate points in the camera plane.The equations that govern the kinematics of the entire system were calculated, these equations were implemented in an Arduino program, which receives data from the coordinate points in ASCII format through the serial port of the computer at a frequency of 1200 bauds.a Python program made in Visual Studio, with the aim of calculating at high speed the rotation angles of each servomotor to position our robot at the desired point.To validate the design, simulations of the forces present in each component and the torque necessary to move the joints, the robot's work area, tracking tests, connectivity tests and data transmission speed were carried out.
AB - In the industry today it is very unusual to find that a robot performs tracking operations with the help of a camera applying artificial vision, however, there are countless applications where the combination of these concepts would be fabulous, such as in the arms industry, production, selection processes, etc.The present project consists of achieving the union of a delta-type parallel robot with an object recognition and tracking interface, which will be carried out with a camera with a resolution of 640 x 480 pixels, which will be more than enough for our application.Artificial vision will have a program that will allow us to recognize objects and discriminate them by color and size.It should be noted that, if greater precision is desired regarding the position of our object, it is possible to change the camera to one with higher resolution, since we will use the pixels as coordinate points in the camera plane.The equations that govern the kinematics of the entire system were calculated, these equations were implemented in an Arduino program, which receives data from the coordinate points in ASCII format through the serial port of the computer at a frequency of 1200 bauds.a Python program made in Visual Studio, with the aim of calculating at high speed the rotation angles of each servomotor to position our robot at the desired point.To validate the design, simulations of the forces present in each component and the torque necessary to move the joints, the robot's work area, tracking tests, connectivity tests and data transmission speed were carried out.
KW - Computer Vision
KW - Delta Robot
KW - Parallel Robot
KW - Servomotor
KW - Tracking
UR - http://www.scopus.com/inward/record.url?scp=85203814659&partnerID=8YFLogxK
U2 - 10.18687/LACCEI2024.1.1.858
DO - 10.18687/LACCEI2024.1.1.858
M3 - Contribución a la conferencia
AN - SCOPUS:85203814659
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - Proceedings of the 22nd LACCEI International Multi-Conference for Engineering, Education and Technology
PB - Latin American and Caribbean Consortium of Engineering Institutions
T2 - 22nd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2024
Y2 - 17 July 2024 through 19 July 2024
ER -