Development of a Computer Vision System for the Inspection and Classification of Mechanical Parts, Integrated with an Industrial Robot and PLC, with Real-Time Automated Data Logging: An Integrated Robotic and PLC-Based Solution for Automated Quality Inspection in Industrial EnvironmentsOriginal title: Desarrollo de un sistema de visión computacional para la inspección y Clasificación de piezas mecánicas, integrado a un robot industrial y PLC, con registro automatizado en tiempo real: Una solución integrada basada en robótica y PLC para la inspección automatizada de calidad en entornos industriale
Original title: Desarrollo de un sistema de visión computacional para la inspección y Clasificación de piezas mecánicas, integrado a un robot industrial y PLC, con registro automatizado en tiempo real: Una solución integrada basada en robótica y PLC para la inspección automatizada de calidad en entornos industriale
Student Thesis:
Student thesis
Thesis
This document describes the implementation of a computer vision system, integrating a
collaborative robot, a Siemens PLC, and a platform known as Ignition. The purpose of
this project is to inspect, classify, and record mechanical parts in real time in an automated
manner. This project arose from the need to improve defect detection in manufacturing
processes to avoid late detection.
The collaborative robot executes routines to transport the part from one point to another and
reduce errors caused by humans. The PLC communicates with the robot to indicate which
routine to perform. It also communicates directly with the Ignition platform to display the
process being executed by the collaborative robot in real time.
The computer vision system uses image processing techniques, including grayscale conversion,
thresholding, morphological operations, and the Hough Transform for line and circle detection.
This allows for the accurate detection of defects in the parts, such as pores or cracks.
A database was designed to automatically record each inspected part, providing relevant
information such as diameter, number of holes, number of cracks, and number of pores, thus
enabling system monitoring and ensuring traceability.
During the execution of this project, the hardware and software were successfully integrated,
improving the accuracy of part detection and demonstrating that this project can be imple-
mented in an industrial environment.
collaborative robot, a Siemens PLC, and a platform known as Ignition. The purpose of
this project is to inspect, classify, and record mechanical parts in real time in an automated
manner. This project arose from the need to improve defect detection in manufacturing
processes to avoid late detection.
The collaborative robot executes routines to transport the part from one point to another and
reduce errors caused by humans. The PLC communicates with the robot to indicate which
routine to perform. It also communicates directly with the Ignition platform to display the
process being executed by the collaborative robot in real time.
The computer vision system uses image processing techniques, including grayscale conversion,
thresholding, morphological operations, and the Hough Transform for line and circle detection.
This allows for the accurate detection of defects in the parts, such as pores or cracks.
A database was designed to automatically record each inspected part, providing relevant
information such as diameter, number of holes, number of cracks, and number of pores, thus
enabling system monitoring and ensuring traceability.
During the execution of this project, the hardware and software were successfully integrated,
improving the accuracy of part detection and demonstrating that this project can be imple-
mented in an industrial environment.
Thesis Information
Thesis Award Date
01/12/2025Qualification Level
ThesisOriginal Language
SpanishSupervisors
Fermin Castro Aragón (Asesor), Vicerrectoría Académica