APPLICATION OF COMPUTER VISION SYSTEMS IN THE INSPECTION OF REINFORCED CONCRETE STRUCTURES
DOI:
https://doi.org/10.18066/revistaunivap.v31i72.4663Keywords:
reinforced concrete inspection, pathologies, computer visionAbstract
This study provides an in-depth analysis of applying computer vision systems to the inspection of reinforced concrete structures, underscoring the essential role of artificial intelligence, its various advantages, and its high processing capacity, all of which have led to significant advancements in contemporary civil engineering. During the research, a robust model was developed using programming languages such as Python and specialized libraries like OpenCV, enabling the accurate identification and classification of various structural pathologies. The findings suggest that integrating this innovative technology can substantially transform traditional inspection practices, offering more precise diagnostics, a notable reduction in operational costs, and improved safety for the professionals involved.
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