150 million pixel high-definition camera visual inspection using a 4G consfinder.

Our company is working on the development of support technology utilizing AI to streamline and reduce labor in the inspection of building exteriors, with the aim of improving the working environment. We are targeting practical application in fiscal year 2026 with a system that accommodates the diverse painting finishes unique to buildings. In exterior wall inspections, crack detection typically relies on the eyes of the inspection technician, and on-site tasks such as field notes, dimension measurements, and photography can be resource-intensive. However, the system we are developing detects cracks from images taken with a digital camera, allowing for digital processing of on-site work and drafting, which reduces time. Additionally, it eliminates discrepancies in detection among different inspectors, resulting in consistent inspection results. The core technology of this system is being constructed through the key research project "Development of Support Technology for Inspection and Diagnosis of Reinforced Concrete (RC) Building Exteriors Utilizing AI" conducted by the Hokkaido Research Organization, a local independent administrative agency, from fiscal years 2023 to 2025. A prototype has already been completed and was unveiled for the first time at our exhibition "Techno Fair 2024."