An autonomous driving robot that autonomously inspects cracks in bridges and buildings and performs repair work, deployed for infrastructure maintenance in dangerous high-altitude and confined spaces.

FD Tech Co., Ltd.
An autonomous driving robot that autonomously inspects cracks in bridges and buildings and performs repair work, deployed for infrastructure maintenance in dangerous high-altitude and confined spaces.
Crack inspection of infrastructure such as bridges, high-rise buildings, and plants requires the deployment of high-risk workers, and the manual visual inspection by people is costly and time-consuming.
Although drones or simple crawler robots existed in the past, there were limitations to precise crack detection or repair work. In addition, maintenance of facilities in narrow or inaccessible areas was sometimes omitted.
FD-RIDER-IR is equipped with a precision camera, IR sensor, etc. on an autonomous driving robot platform to non-destructively inspect not only external cracks but also internal defects [23].
The AI vision algorithm automatically identifies minute cracks and analyzes abnormal patterns in real time to generate reports. In addition, the mounted modular robot arm can perform simple repair agent application or fastening work, so the robot handles the primary repair in places that are difficult for humans to access.
It combines autonomous movement and work capabilities, making it more efficient than existing inspection robots, and it is possible to predict the lifespan of facilities through data accumulation.
Major customers are construction and civil engineering public corporations, local government infrastructure management departments, and large construction companies (B2G/B2B). For example, road corporations, railway corporations, and power plant operators can purchase or use services of this robot.
There is a potential market in every country due to the increase in aging infrastructure. In the domestic market, it can ride the trend of smartening SOC management, and it can also enter overseas markets as a smart city infrastructure management solution.
However, the structure varies from site to site, requiring robot customization, and the initial adoption cost is high, so the market expansion rate may be slow.
Although the cause is great as a technology related to social safety, it received relatively quiet attention at CES compared to its splendid technology.
Technically, the fusion of AI+robot is impressive, but it is said that investor interest was limited due to its specific niche application. It remained at the level of a showcase demonstration, and market verification is insignificant due to the lack of actual field application cases.
📌 Solution limited to a specific niche (narrow field of infrastructure inspection, mainly used for public projects)
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