Condition assessment of aging structures has reached at a critical level in the US. Evaluation of accurate and fast methods without creating even further damage has become a necessity in structural health monitoring area. This study tries to explain the new methods and frameworks that may be replaced with conventional evaluation methods to conduct the same studies faster, requiring less cost and labor and with the same or better accuracy. The main idea is to implement computer vision and infrared imaging based technologies into local and global structural health monitoring practices. Brief explanations of their working principle along with the results from past studies and future recommendations are given. Finally, a possible decision-making framework combining the explained methods is proposed.
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