| The research entitled “Impact of Image-Based Crack Detector to the External Crack Analysis of Buildings: A Basis for Modified Scanning Application,” aimed to determine the features and potential effects of an image-based crack detector and evaluate its effectiveness in the external crack analysis of buildings. It is to assess whether there are significant differences in the effectiveness in terms of accuracy, functionality, and convenience. At the same time, it also aimed to come up with enhanced key functions that can aid in the modification of image-based crack detectors. Moreover, the study employed the use of a descriptive method. In line with this, it used a survey questionnaire as its main gathering instrument, whereas a total of fifty (50) civil and structural engineers were chosen as the respondents of the study. For the distribution of the instrument, simple random sampling was applied, respectively. The researchers were able to analyze and interpret the data through the use of statistical tools including frequency distribution, ranking, weighted mean, composite mean, and Analysis of Variance (ANOVA). Based on the gathered data, the results revealed that crack recognition, along with such image processing techniques, prevail as the vital features of an image-based crack detector. It was also pointed out that its application substantially affects automated defect detection in certain aspects. Thereby, the findings signified that the null hypothesis fails to be rejected while statistically justifying that there are no significant differences in the effectiveness of an image-based crack detector in terms of accuracy, functionality, and convenience. Furthermore, the foregoing results of the study were then used as a basis in devising the modified image-based crack detector for external crack analysis on buildings. |
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