Development of an Image Processing Application for Element Detection in a Printed Circuit Board Manufacturing Cell

Industrial automation in the manufacturing environment has revolutionized production and manufacturing in many industries, generating significant improvements in efficiency, quality, and process effectiveness. However, it has also posed challenges related to feedback in manufacturing environment mon...

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Bibliographic Details
Published in:Applied sciences 2024-07, Vol.14 (13), p.5679
Main Authors: Trejo-Morales, Antonio, Bautista-Ortega, Milton, Barriga-Rodríguez, Leonardo, Cruz-González, Celso Eduardo, Franco-Urquiza, Edgar Adrián
Format: Article
Language:English
Subjects:
Accuracy
Advanced manufacturing technologies
Algorithms
anomaly identification
Automation
Coffee
COVID-19
Employment
feedback systems
industrial automation
Labeling
manufacturing cell
Manufacturing cells
manufacturing process
Neural networks
Printed circuit boards
Robotics
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Summary:Industrial automation in the manufacturing environment has revolutionized production and manufacturing in many industries, generating significant improvements in efficiency, quality, and process effectiveness. However, it has also posed challenges related to feedback in manufacturing environment monitoring systems, and increasing the effectiveness, productivity, and quality in industrial production. Feedback systems in the manufacturing environment are fundamental to industrial automation, which is why an application has been developed for the detection of elements in a printed circuit board manufacturing cell. The solution presented in this article proposes implementing a continuous feedback system with the ability to provide real-time information to identify the location of elements in a manufacturing cell and potentially detect anomalies, with the goal of improving the manufacturing process appropriately.
ISSN:2076-3417
2076-3417
DOI:10.3390/app14135679