How much does inspecting buried infrastructure cost? And perhaps more importantly, how much does it cost not to do those inspections? Can Artificial Intelligence help us with sewer inspection?
We live in a world where urban agglomerations have become the majority ecosystem of the human population. More and more people live in urban environments, and cities are getting bigger and bigger. And for these ecosystems to be sustainable for human life, they need to be equipped with infrastructures that allow access to such basic needs as safe water and sanitation. And these infrastructures are becoming more complex, difficult to design and build, and challenging to maintain.
Resources for Infrastructure Management
Resources for infrastructure management and maintenance are always finite, and it is imperative to make the right decisions when prioritizing where to apply these resources to avoid damage and accidents with consequences that can be catastrophic.
Over the past few years, improved sensor technology, data acquisition, and IT technology has led to the birth of better infrastructure management systems with the gradual incorporation of Asset Management and the paradigm shift from corrective inspection to preventive inspection.
However, buried infrastructure such as sanitation and sewerage infrastructures still requires regular robot camera inspections to check the actual condition of the infrastructure. After all, management systems will give information as good as the data they are fed with. And the amount of data to be analyzed can become a difficult bottleneck to avoid.
SEWDEF and Automatic Sewer Defect Detection
An automatic sewer defect detection system, through analysis of the images obtained in the inspection, becomes an artificial assistant that makes it possible for this preventive inspection of thousands of miles of buried sewerage to be now possible and feasible.
Thanks to an artificial intelligence system optimized for sanitation pipes, large volumes of data can be analyzed for objective, reliable, time-consistent, and standardized results.
Operating costs are significantly improved, and appropriate decisions can be made in applying resources where they are most needed in order to maintain the operation of the infrastructure at an optimal level and avoid direct and indirect costs arising from stateless and accelerated deterioration.
SEWDEF is an automatic sewer defect detection system that, through a cloud-hosted artificial intelligence system, robotic self-localization algorithms and “Deep Machine Learning” enables the automatic identification and localization of defects in sewer pipes quickly and effectively. With SEWDEF, infrastructure managers can now integrate real state data into their predictive algorithms and radically improve their decisions when using their limited resources.
We hope this article has been useful to you. If you want to know more about SEWDEF and the automation of detection of defects in the sewer system, here is the link where you can contact us and find out more about all the benefits that you will obtain with SEWDEF.