학술논문
Scratch Detection of the PET Bottle Preform Based on Deep Learning
Document Type
Conference
Author
Source
2020 2nd International Conference on Information Technology and Computer Application (ITCA) ITCA Information Technology and Computer Application (ITCA), 2020 2nd International Conference on. :222-225 Dec, 2020
Subject
Language
Abstract
Scratches are a common phenomenon in the production of the PET bottle preform, and traditional inspection by human eyes bring troubles to the automatic production process. In this paper, deep learning algorithm was used to detect PET bottle preform scratches. The detection algorithm based on YOLOv4 neural network was proposed. The detection effect was tested under different scratch degrees, which provide accurate information for automatic production picking of the PET bottle preform. The average detection time of a single image was 0.154s, and the shortest detection time was 0.133s.