Every year, utility owners invest significant time and resources in scrutinizing sewer pipe inspection CCTV footage. The emergence of Artificial Intelligence (AI) is revolutionizing this process. By leveraging machine learning algorithms, the digital twin technology mirrors the workflow and decision-making of contractors, streamlining the QA/QC of sewer inspections.
This advanced technology significantly reduces the time required to obtain and review inspection data in the field. By eliminating human bias in defect identification and coding, accuracy is heightened. AI expedites the inspection process and empowers contractors to analyze more footage per day, effectively lowering the cost-per-foot for utility owners.
How it Works
So, how do we know the data collected is accurate? The accuracy of the collected data is ensured through the integration of computer vision AI systems with machine learning capabilities. The computer vision component serves as the eyes, meticulously examining CCTV video to extract information on taps, cracks, roots, and other obstructions. The machine learning component, functioning as the brain, deepens its understanding of defects with each verification, associating them with specific codes.
Mapping with Precision
B&N's AI platform, PipeAIdTM, takes innovation a step further by integrating a Geographic Information System (GIS), generating a comprehensive geospatial digital twin of the entire sewer collection system. This digital twin enables utility owners to visualize the condition of sewer assets, precisely locating each defect and construction feature along the pipes. This not only facilitates quick evaluation of storm and sanitary infrastructure conditions but also empowers data-driven decision-making. The dynamic database replaces static PDF reports, offering utility providers a centralized hub to efficiently visualize and manage the condition of each pipe.
Explore the benefits of AI through the expertise of Josh Ford, PE, the driving force behind B&N's AI sewer inspection application. Join Josh as he demonstrates how AI presents a cost-effective solution for system evaluation and asset maintenance, enabling prioritization of rehabilitation efforts and coordination with other capital improvement projects. Embrace the future of sewer inspections, combining artificial intelligence, digital twin technology, and geospatial insights for enhanced efficiency and informed decision-making.