Mobile-robot and Cloud-based Integrated Defect Inspection System for Indoor Environments

Conventional defect inspections in newly constructed indoor environments still rely heavily on manual checking and judgement, which can be costly, time-consuming, superficial, and prone to human errors. In this paper, we have proposed a novel complete integrated system where a mobile-robot platform capable of autonomous navigation, performs data collection in indoor environments and transmits this data to a remote server on the cloud. Here, our AI and 3D fusion analysis software detect defects such as alignment, evenness, cracks, damages, and finishing defects as per the Construction Quality Assessment System (CONQUAS) standards. The results are then published to a well-designed web-based User-Interface system where stakeholders can view/track the defects. By integrating these core technologies and addressing most of the practical concerns, our proposed approach is able to conduct inspections with higher accuracy and efficiency compared to traditional manual assessments.