pp. 1431-1439
S&M3609 Research Paper of Special Issue https://doi.org/10.18494/SAM5000 Published: April 19 , 2024 Clamp Dot Image Classification Using Neural Network [PDF] Krittapak Srikam and Anakkapon Saenthon (Received January 29, 2024; Accepted March 5, 2024) Keywords: CNN, OpenCV, image processing, TensorFlow, neural network
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.
Corresponding author: Anakkapon SaenthonThis work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Krittapak Srikam and Anakkapon Saenthon, Clamp Dot Image Classification Using Neural Network, Sens. Mater., Vol. 36, No. 4, 2024, p. 1431-1439. |