- Every time waste is thrown into a waste bin, it ends up somewhere and has to be treated in some way so as not to be hazardous to the environment.
- The sensors attached to the roadside waste bins track waste collection inside the bin and alert the waste collection trucks automatically using an IoT-integrated and networked system , but waste that is thrown directly on the road escapes the digital visual eyes of the sensor cameras.
- We use past waste data to train the system on a machine learning (ML) platform to identify and categorize waste and also approximately to gauge the weight of the waste.
- Capacity management and the eventual disposal process can be mapped well before time, starting right from the point of waste picture stage at the command center.
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