Cracked concrete surface image classification on low-dimensional image using artificial intelligence algorithms

• Main Author: Rashid, Rashid Taha Siham
• Format: Thesis
• Language: English
• Published: 2022
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/99565/1/RashidTahaSihamMSKE2022.pdf; http://eprints.utm.my/id/eprint/99565/; http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:149745
• Institution: Universiti Teknologi Malaysia

The project aims to create a Convolutional neural network (CNN) to detect and classify building cracks. Cracks are a key factor in determining how well-built a concrete structure is since they affect its sturdiness, utility, and safety. Due to its superior image processing capabilities, CNN is rapid...