Construction progress monitoring and control is one of the most significant tasks of construction management. However, current practices and tools mainly rely on manual checking and adjustment, which is labour-intensive and error-prone. To address the challenges this project proposes an augmented reality (AR) and computer vision (CV) integrated approach aiming to monitor the construction progress automatically and accurately. First, the AR module establishes a virtual environment that links the real environment with its corresponding BIM model via AR tags. Then, the CV inference module captures and recognizes the physical model using the convolutional neural networks (CNN). Last, a well-designed user interface is developed so that stakeholders can intuitively interact with the AR and CV modules. A mobile application is developed to showcase the feasibility and efficiency of the proposed innovative approach where a case of modular integrated construction (MiC) is demonstrated. The results show that the proposed approach enables automated progress monitoring in a real-time manner, and further offers augmented 3D visualisation with enriched construction information for accurate progress analysis, which will be an advanced digital solution for enhancing current practices. 

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施工進度監控是項目管理過程中最重要的任務之一。然而，當前的進度監控主要依賴於人工檢查和校正，此過程相當繁瑣並且容易出錯。為了改善現況，本項目團隊提出了以增強現實(AR)和計算機視覺(CV)相結合的方法，旨在實現自動、準確地監控施工進度。首先，本團隊建立了一個基於BIM技術的AR模塊，並通過標籤將虛擬原型連接至真實環境。其次，本團隊創建了一個基於卷積神經網絡(CNN)的CV模塊，用於獲取及識別當前實際項目的施工進度。