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Clamp Dot Image Classification Using Neural Network
Author(s)
Srikam, Krittapak
Date Issued
January 1, 2024
Type
Article
Abstract
In this paper, we discuss the classification of images captured by a machine camera while assembling components. To crop out specific points of interest, we employ image processing. Additionally, we utilize deep learning techniques, specifically convolutional neural networks, to identify the type of equipment being assembled. This approach allows us to determine and record specific parts within a device. However, the main challenge of this project is to achieve both high accuracy and the shortest possible prediction time.
Citation
Sensors and Materials, 36(4), 1431-1439, 2024