A deep region-based pyramid neural network for automatic detection and multi-classification of various surface defects of aluminum alloys

• Main Authors: Chen, Keyu, Zeng, Zhaoyang, Yang, Jianfei
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Aluminum Alloys; Defect Detection
• Online Access: https://hdl.handle.net/10356/159837
• Institution: Nanyang Technological University

Aluminum alloys have a wide range of applications in building and civil infrastructure. During the process of production, transportation and storage, various defects inevitably occur on the material, including blisters, scratches, base exposure, dirty points, etc. The efficiency and accuracy of defe...