P‐43: Development of 3D Crosstalk Classification Model Using Deep Learning†

Abstract

We propose development of a 3D X‐Talk classification model using deep learning. Secure X‐Talk image data of various LFD products and classify images for each feature. After image labeling and feasibility evaluation to utilize the deep learning model as a learning image, the performance of the model was improved and the platform was developed. This requires a faster and more accurate classification model to classify X‐Talk levels in the quality inspection process for commercial LFD product production.