Year: 2025
Type: article
Abstract: This project introduces a wall crack detection system that uses computer vision and image processing techniques to identify and classify cracks. The system accepts an image or video input and analyzes it to detect crack types such as shrinkage, minor, major, and structural cracks. It calculates the length and area of each crack and creates a detailed health report of the wall. The system is designed to help civil engineers determine structural safety by automatically detecting faults. The final report includes visual findings, crack measurements, and a general evaluation of wall condition.
Author: Ankush Tiwari
Institution: Thakur College of Engineering and Technology
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409675963