Application of deep learning-based object detection methods in aluminum labels production lines
Abstract
This paper addresses the issue of defect detection in aluminum labels production lines by applying and exploring object detection algorithms based on deep learning. Through the development of an integrated system that combines model training and real-time detection, the difficulty of model training and application is reduced, allowing researchers to focus more on the problem itself. Experiments have validated the effectiveness of certain object detection algorithms, and the provided experimental data offers valuable reference for similar problems.
Fields of Study & Subjects
Industrial Vision Systems and Defect Detection
Advanced Neural Network Applications
Infrastructure Maintenance and Monitoring
Publication details
- Journal / source
- International Symposium on Robotics and Artificial Intelligence (ISRAI)
- Pages
- 18–18
- Publication date
- 12 February 2026
- Language
- EN