Projects per year
Abstract
Accurate temperature control in Printed Circuit Board (PCB) manufacturing is essential for maintaining high-quality etching results. Automated monitoring us-ing machine vision and deep learning offers an effective approach for this task. This study investigated a feature-based transfer learning technique for classifying temperature readiness in infrared images of the etching process. The captured da-taset containing 470 ‘Production-Ready’ and 480 ‘Not-Ready’ infrared images of the etchant tank was utilized. Pre-trained Visual Geometry Group (VGG) Convo-lutional Neural Network (CNN) models, specifically VGG16 and VGG19, were employed to extract discriminative features from these images. Logistic Regres-sion (LR) classifiers were then trained on these features to classify the infrared images. The performance of the VGG16-LR and VGG19-LR pipelines was evaluated on training, validation, and test sets using a 60:20:20 split. While both pipelines achieved 100% accuracy on the training sets, the VGG19 pipeline showed exceptional performance, achieving a validation accuracy of 95%, and a test accuracy of 99%. The VGG16 pipeline also demonstrated robust perfor-mance, achieving 96% accuracy on both the validation and test sets. Considering the dimensions and the overall efficiency of the pipeline, it was determined that the VGG19-LR model was appropriate for the captured dataset. The high accura-cy indicates that transfer learning is suitable for categorizing temperature fluctua-tion in infrared thermography, as opposed to training a deep neural network from scratch. Computer vision and deep learning provide automated and precise tem-perature management during the etching process, leading to enhanced efficiency in PCB manufacturing.
Original language | English |
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Title of host publication | International Conference on Intelligent Manufacturing and Robotics 2024 |
Subtitle of host publication | ICiMR 2024 |
Publisher | Springer |
Publication status | Accepted/In press - 2024 |
Event | 2nd International Conference on Intelligent Manufacturing and Robotics (ICiMR) - Taicang, China Duration: 22 Aug 2024 → 23 Aug 2024 |
Conference
Conference | 2nd International Conference on Intelligent Manufacturing and Robotics (ICiMR) |
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Country/Territory | China |
Period | 22/08/24 → 23/08/24 |
Fingerprint
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Innovative Syntegrative Education with Haier: Enhancing the Industry-Led Module Delivery for Customer orientated Mass Customisation and Manufacturing Systems with Haier
9/04/24 → 31/08/26
Project: Internal Research Project
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Digital Twins of Micro Air Vehicle with Artificial Intelligence and Human-in-the-Loop for Future Farming
1/09/22 → 31/08/25
Project: Internal Research Project
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The Formulation of a Transfer Learning Pipeline for Bone Fracture Diagnosis
1/06/24 → 30/09/24
Project: Internal Research Project
Activities
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2nd International Conference on Intelligent Manufacturing and Robotics (ICiMR)
Anwar P.P. Abdul Majeed (Organiser), Yang Luo (Organiser), Fan Zhang (Organiser) & Wei Chen (Chair)
22 Aug 2024 → 24 Aug 2024Activity: Participating in or organising an event › Organising an event e.g. a conference, workshop, …
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Performance Analysis of Feature-Based Transfer Learn-ing Using VGG19 for Detecting Hairline and Spiral Fractures
Yang Luo (Speaker), Yi Chen (Speaker), Xiaoyan Liu (Speaker) & Jiahua Xia (Speaker)
22 Aug 2024Activity: Talk or presentation › Presentation at conference/workshop/seminar