- Media recognition
AI image analysis technologies for water pipeline inspection
Controls variance in evaluation standards and reduces workload.
- In-pipe camera inspection that can confirm deterioration of aging water pipelines enable increased efficiency and accuracy by combining AI technologies.
- This technology detects aging locations (e.g., rust or sediment) in water pipelines, and judges the state of degradation of water pipelines.
- Using software that displays the images taken on-site and the AI image analysis results side-by-side, it increases the efficiency of inspection and report creation.
Applications
- Deterioration inspection inside water pipelines
- Applications in other in-pipe image inspection
Benchmarks, strengths, and track record
- Detection algorithms for appropriately switching detection targets in keeping with camera movement.
- Algorithms for determining state of degradation based on guidelines stipulated by the Japan Water Endoscope Camera Association.
- Currently proposing feasibility studies using on-site data.
Inquiries
Please include the title “AI image analysis technologies for water pipeline inspection” or the URL in the inquiry text.
This technology is currently in the R&D stage, and so may not be immediately applicable to requests.
References:
- “AI image analysis technologies for efficient water pipe inspection” , PHM Asia Pacific 2023, OS06-14 (2023)
- “AI image analysis technologies for efficient water pipe inspection”; Japan Water Works Association Lecture 5-11 (2023)
