ABSTRACT
Engineering structures like concrete surface, beams are often subjected to fatigue stress, cyclic loading, that leads to the cracks that usually initiate at the microscopic level on the structure’s surface. The cracks on the structure reduce local stiffness and cause material discontinuities. Early detection allows preventive measures to be taken to prevent damage and possible failure. Crack detection is the process of detecting the crack on the wall surface using image processing techniques. For fast and reliable surface defect analysis, Automatic crack detection is developed instead of the slower subjective traditional human inspection procedures. Thereby a safer survey methodology is adapted. Automatic crack detection is very effective for Non-destructive testing. Cracks on the concrete surface are one of the earliest indications of degradation of the structure which is critical for the maintenance as well the continuous exposure will lead to the severe damage to the environment. Manual inspection is the acclaimed method for the crack inspection. In the manual inspection, the sketch of the crack is prepared manually, and the conditions of the irregularities are noted. Since the manual approach completely depends on the specialist’s knowledge and experience, it lacks objectivity in the quantitative analysis. So, automatic image-based crack detection is proposed in this project. This project is developed in matlab.
PROJECT OUTPUT
PROJECT DEMO VIDEO
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