SMART SKY EYE System for Preliminary Structural Safety Assessment of Buildings Using Unmanned Aerial Vehicles

Area of Science:

• Civil Engineering
• Robotics
• Computer Vision

Background:

• Unmanned aerial vehicles (UAVs) are increasingly vital for safety surveillance in construction and civil engineering.
• Traditional building inspection methods can be time-consuming and may pose risks to personnel.

Purpose of the Study:

• To introduce an aerial image-based approach using UAVs for inspecting building cracks and deformations.
• To present the SMART SKY EYE system for smart building safety assessment.

Main Methods:

• Utilizing UAVs equipped with thermal cameras for aerial imaging.
• Implementing machine learning algorithms for data analysis.
• Employing 3D point cloud modeling for structural representation.
• Applying thermography for enhanced defect detection.

Main Results:

• The SMART SKY EYE system enables the generation of detailed crack maps and depth measurements.
• It accurately identifies structural deformations through advanced aerial surveying.
• Error rates of the proposed method are compared against conventional inspection techniques.

Conclusions:

• The developed UAV-based approach provides an efficient and accurate method for building safety evaluation.
• SMART SKY EYE enhances structural integrity monitoring through integrated technologies.
• This system represents a significant advancement in automated building inspection and safety assessment.