建築檢驗行業對於確保設計佈局和圖紙中描述的元素的品質是必要的。然而，建築檢驗行業存在一些問題，例如耗時、勞動成本高或缺乏適當的監管要求。為了提高施工檢查的效率和效果，引入了機器人來協助執行不同的任務，例如使用雷達來檢查元件的尺寸，或使用 RGB-D 相機來檢測鋼筋的位置、尺寸和長度。在這項研究中，我們進行了廣泛的文獻綜述，修改了傳統和人機協作等不同的檢查方法；自動化方面，如機器人和感測器的類型；以及現有框架以及所使用的活動、技術和演算法。有了這些信息，就確定了檢查和自動化的目的。將資訊分類、彙總和分析，規範資訊。本文的目的是透過使用不同的自動化方法來建立建築檢查行業自動化指南。為了證明所提出的框架，將在鋼筋檢驗中進行案例研究。本研究旨在為研究界提供指導，以實現建築檢查行業各個方面的自動化。

The Construction Inspection Industry is necessary to ensure the quality of the elements as described in the design layouts and drawings. However, several problems have been related to the construction inspection industry, such as time-consuming, cost-labor, or lack of appropriate regulatory requirements. To improve the efficiency and effectiveness of construction inspection, robots have been introduced to assist in different tasks, such as LiDAR to check size of elements, or RGB-D Cameras to detect steel bar locations, size, and lengths. On this research, an extensive literature review was conducted revising the different approaches of inspection, as traditional and human-robot collaboration; aspects of automation, as types of robots and sensors; and existing frameworks with the used activities, technologies, and algorithms. With this information, the purpose of inspection and automation was defined. The classification, summary and analysis were conducted to normalize the information. The purpose of this paper is to build a guide for automating the construction inspection industry by using different automation approaches. To prove the suggested approach, a practical example will be studied focusing on rebar inspections. This study aims to give the research community a guide to achieve automation in any aspect of the construction inspection industry.

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