Challenge:
The client is a leading global engineering firm specializing in the assessment and rehabilitation of underground sewerage systems. With a vision to revolutionize the way inspections are conducted, they sought to develop a cutting-edge Computer Vision-based program that could automatically identify defects within sewer pipes. The program would allow the user to easily go through the video frames and identify defects, and their clock positions, and allows users to see and interact with the web interface.
In the past, the firm relied on PACP-certified experts manually marking defects occurrence for evaluating the condition of gravity sewers, a process that was not only labor-intensive but also highly susceptible to human error. This approach relied on the interpretation of individual inspectors and their ability to identify defects within the pipes, leading to inconsistencies in assessment quality. By seeking an innovative solution to automate the inspection and quality review process, the client aimed to raise the bar and set new standards in the field.
Solution:
To cater to the client’s requirements, our team devised a comprehensive plan to foster a data-centric approach without relying on any field tools. The plan involved delivering the following:
iLink helped create an AI video processing algorithm for the detection and classification of sewer defects using Deep Learning and Computer Vision. This innovative product was recognized with the Digital Products Award at the Innovation Spotlight Awards 2022.
Process:
The project was executed in three phases:
Results:
By processing 10,000 minutes of video review, the platform enabled a four-fold increase in productivity. This allowed contractors to identify defects in the sewer inspection media more quickly and efficiently, saving valuable time and resources.
In the initial testing phase, the platform demonstrated an accuracy rate of 60%, resulting in a 1.5 times increase in productivity. However, through continued development, the AI engine was further improved, achieving an impressive accuracy rate of 85% in the final phase of the project.
Overall, the platform had a transformative effect on the client’s organization, becoming a foundation for other entities to build upon. With the ability to differentiate between various types of defects accurately, the platform provided enhanced accuracy and productivity, improving the efficiency of the entire sewer inspection process.
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