Progress tracking, quality verification and defect detection are vital to the successful delivery of any construction project. Traditionally, these processes are handled manually and in a costly and reactive manner. This results in delayed and siloed risk management, causing significant knock-on effect on time, quality, cost and safety of construction projects.
Implementing 3D AI building inspection is crucial for improving quality control of construction processes. Combining technologies like LiDAR scanning and AI in construction can be complex and requires robust strategies to ensure proper management, security, and data privacy.
Other key challenges include adherence to regulatory requirements and requirement of specialised skills and training to effectively use 3D construction software and AI inspection technologies, adding to the initial investment in equipment and training. This also means substantial changes to workflows, necessitating careful change management.
With the right partners, 3D AI building inspection can proactively identify and address issues early in the process, leading to increased efficiency and outcomes. Through AI inspection progress monitoring and reporting, greater transparency and accountability can be achieved, facilitating better communications and informed decision making.
