Integration of Autonomous Flight and Artificial Intelligence Technologies to Address Building Safety Issues
16/04/2025
16/04/2025
The safety of building façades has long been a matter of public concern, as a single inspection of the exterior may not provide a comprehensive understanding of the building’s structural condition. With the support of the Science and Technology Development Fund (FDCT), Artrong Technology Limited has conducted research on building inspection using unmanned aerial vehicles (UAVs). The company focuses on the development of autonomous flight systems, particularly in high-rise urban areas and complex environments. By integrating artificial intelligence (AI) technology, it has developed a large-scale, one-stop, fully automated building inspection service, having completed inspections for hundreds of buildings in the Hong Kong and Macao regions as well as Mainland China.
Recently, the company conducted infrared inspections for a university campus in Hengqin, and successfully completed automated aerial inspection missions for several buildings in Macao’s complex urban environment using autonomous flight technology, showcasing the efficiency and reliability of its technologies in real-world applications.
According to the project leader, infrared imaging is one of the commonly used techniques during inspection processes, as it effectively detects issues such as hollowing and detachment of tiles. However, due to the limitations of infrared spectrum analysis, it is difficult to fully identify defects based on a single spectral image alone. Therefore, it is necessary to integrate other spectral images—especially visible light images—for comparative analysis to enhance the accuracy and reliability of the inspections.
To further advance its technologies, the company has entered into a collaboration with the Shenzhen Institute of Harbin Institute of Technology to jointly develop building façade defect detection technology based on deep learning and multimodal image fusion. By combining data from multiple spectral sources—such as infrared and visible light—and leveraging deep learning algorithms, the technology can more precisely identify various types of façade defects, such as cracks, hollowing, and detachment. The multimodal image fusion approach not only addresses the limitations of single-spectrum inspections but also significantly improves inspection efficiency and accuracy, offering more comprehensive data support for building safety assessments.
The integration of the company’s autonomous flight system and multimodal image fusion technology forms a unique competitive edge, enabling it to provide clients with efficient and accurate building inspection solutions. Its services now cover the Guangdong-Hong Kong-Macao Greater Bay Area, as well as the Jiangsu, Zhejiang, and Shanghai regions, and are gradually expanding to other parts of the country. The company is committed to providing reliable technological assurance for the safety of existing buildings, helping clients identify and resolve potential façade issues in a timely manner to ensure long-term structural safety and stability.
Looking ahead, the company will continue to deepen its research and development efforts, broaden application scenarios, and promote the innovative application of autonomous flight and AI technologies in the field of building inspection. Through ongoing optimisation of technologies and services, it aims to deliver efficient and intelligent building inspection solutions to a wider range of clients, contributing to the sustainable development of the construction industry.
Recently, the company conducted infrared inspections for a university campus in Hengqin, and successfully completed automated aerial inspection missions for several buildings in Macao’s complex urban environment using autonomous flight technology, showcasing the efficiency and reliability of its technologies in real-world applications.
According to the project leader, infrared imaging is one of the commonly used techniques during inspection processes, as it effectively detects issues such as hollowing and detachment of tiles. However, due to the limitations of infrared spectrum analysis, it is difficult to fully identify defects based on a single spectral image alone. Therefore, it is necessary to integrate other spectral images—especially visible light images—for comparative analysis to enhance the accuracy and reliability of the inspections.
To further advance its technologies, the company has entered into a collaboration with the Shenzhen Institute of Harbin Institute of Technology to jointly develop building façade defect detection technology based on deep learning and multimodal image fusion. By combining data from multiple spectral sources—such as infrared and visible light—and leveraging deep learning algorithms, the technology can more precisely identify various types of façade defects, such as cracks, hollowing, and detachment. The multimodal image fusion approach not only addresses the limitations of single-spectrum inspections but also significantly improves inspection efficiency and accuracy, offering more comprehensive data support for building safety assessments.
The integration of the company’s autonomous flight system and multimodal image fusion technology forms a unique competitive edge, enabling it to provide clients with efficient and accurate building inspection solutions. Its services now cover the Guangdong-Hong Kong-Macao Greater Bay Area, as well as the Jiangsu, Zhejiang, and Shanghai regions, and are gradually expanding to other parts of the country. The company is committed to providing reliable technological assurance for the safety of existing buildings, helping clients identify and resolve potential façade issues in a timely manner to ensure long-term structural safety and stability.
Looking ahead, the company will continue to deepen its research and development efforts, broaden application scenarios, and promote the innovative application of autonomous flight and AI technologies in the field of building inspection. Through ongoing optimisation of technologies and services, it aims to deliver efficient and intelligent building inspection solutions to a wider range of clients, contributing to the sustainable development of the construction industry.
Schematic Diagram of Infrared and Visible Light Fusion Algorithm
Case Study of Infrared and Visible Light AI Recognition Integrated with Automated Flight
Self-developed Onboard Computer
Office address: Avenida do Infante D. Henrique, No. 43-53A, Macau Square, 8th Floor, Unit C and 11th Floor, Unit K, Macao (To apply for project funding, please go to 11th Floor, Unit K)
Office hours: Monday to Thursday: 9:00-13:00, 14:30-17:45；Friday: 9:00-13:00, 14:30-17:30；Tel.: 28788777
Copyright(C) 2021 ALL right reserved.
Office hours: Monday to Thursday: 9:00-13:00, 14:30-17:45；Friday: 9:00-13:00, 14:30-17:30；Tel.: 28788777
Copyright(C) 2021 ALL right reserved.