Currently, assessment techniques are performed subjectively, time consuming, and rely mostly on human visual inspection. Such subjective assessment methods have been identified as a critical obstacle to effective infrastructure management. The hybrid computerized decision support system for construction quality assessment applies concepts in the fields of machine learning, pattern recognition, and image processing. The system will automate the assessment process by acquiring digital images of the areas to be assessed and analyzing the images to identify and measure defects. Moreover, sample images will be used to train the system to acquire expert knowledge in identifying the defects and using this knowledge to later assess other cases.

Fact Sheet ID Number



Equipment Automation


decision support system, infrastructure, assessment, construction



Date of this Version




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