Automatic detection of sewer defects via hierarchical deep learning

Sewer pipeline damage is one of the most serious issues faced today. Damage to a sewage system can result in a variety of problems, including traffic congestion caused by contaminated roadways and the spread of waste water on the roads and adjacent areas. Also, these untreated sewer damages cause many other problems such as they make the water impure to use when the wastewater mixes with the drinkable and usable water and also cause threat to the aquatic animals and marine life. The leakage releases bad odor into the atmosphere. This also leads to the cause of many diseases due to the use of the impure water and also the bacteria and other pathogens that are carried by the sewages includes Cholera, Typhoid, dysentery and many other diseases causing germs and viruses. Most of the sewers with lifespan of 25-30 years and older are getting damaged easily also the sewer damages are mostly due to the impose of overweight on the sewer pipelines and underground pressure on the pipelines are causing cracks, fractures, gouges and corrosion to the sewer pipelines. The pipelines of more lifespan should be replaced. So early detection of sewer damages and replacement of sewer pipelines is very important. As a result, people can overcome the aforementionedissues and impacts of sewer damage.