Lining Concrete AI Evaluation Service

Support for visual evaluation of lining concrete surface layers

Automatic photography and image processing AI support the visual evaluation of tunnel lining concrete surface layers, reducing evaluation variability and assisting in the creation of visual evaluation sheets.

Challenges faced prior to system implementation

Due to lack of successors
Difficulty in passing on technology

Cumbersome paper management

The Quality Improvement Cycle
No mechanism

Maintain and improve the quality of the tunnel lining concrete surface layer
AI and cloud systems provide support

It supports the work required to improve and maintain quality by displaying bad scores and graphing score information.

System Features

AI assists in evaluating the surface layer of lining concrete

The AI judges the score on the visual evaluation sheet based on the photograph of the lining concrete, and supports the visual evaluation of inexperienced engineers by having them refer to the AI's judgment results. Furthermore, it is expected to reduce the variation in visual evaluation scores among on-site personnel.

Easy data management in the cloud

This system consists of an iPad application and a web application using the cloud. Since input scores of field staff, concrete photographs, and AI judgment results are stored in the cloud, data sharing can be smoothly performed from anywhere.

Visualization of quality assessment results

In addition to outputting a visual evaluation chart, this system can output a graph showing the transition status of evaluation scores. By looking at the graph, it is possible to visually grasp whether the evaluation score is good or bad, which can be used as feedback for "improvement" of on-site work.