Tracking Waste Disposal and Generation of Fine to control and promote proper waste segregation

The metropolitan cities in India alone produce about 10 million tons of waste. That is, if left untreated, the waste materials will cause several types of pollution which are water, soil and air that destroy our ecosystem completely. People can avoid this madness by being waste conscious at an individual level. Lack of awareness and weak imposition of rules by authorities on separate household garbage pick-up are some reasons why many policies have failed to accomplish this. Thus, we aim to monitor and fine them whenever they don’t obey the rules in segregating their household wastes. This project mainly deals with using web camera images to determine the percentage of non-segregating biodegradable from non-biodegradable waste during its collection by the municipal bodies for determining the fines based on improper disposal methods of waste products. One way of analysing the proportion of nonsegregated garbage is through Convolution Neural Networks (CNN), a deep learning algorithm. This groundbreaking solution advances responsible trash disposal methods that enhance a cleaner living environment for all people and future generations alike