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Facade Inspection Comparative Study: Binocular, Close-up, and AI-assisted

机译:门面检查比较研究:双目,特写和AI辅助

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摘要

This case study shows that computational techniques such as the AI-based fagade condition detector can reduce the time of a visual survey by over 90 percent and be very useful in rapid and accurate repair work budget projections for clients. The use of AI technology presents the construction industry with an opportunity to significantly reduce time of initial inspections (refer to Table 5) and increase the accuracy of condition quantity forecasts.
机译:本案例研究表明,诸如基于AI的无级型情况探测器的计算技术可以将视觉调查的时间减少超过90%,并且在快速准确的维修工作预算投影中非常有用。 AI技术的使用提出了建筑业,有机会显着缩短初始检查时间(参见表5)并提高条件量预测的准确性。

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