Machine learning based reward bin for effective waste segregation

Waste disposal along with its management is the main concern worldwide. The waste that is produced on a daily basis is impossible to control hence, it is rising constantly. The manually segregated garbage is less efficient, less feasible and is time consuming. The system introduced in this paper is based on machine learning that uses CNN algorithm to segregate the item to be disposed into the bin as plastics and non-plastics like plastic bottles, metal cans, paper cups, tetra-packets, and wrappers. Further, waste is monitored using an ultrasonic sensor and after the limit is reached, the respective authorities are notified using an application. There is a need for responsibility to be taken and awareness to be created amongst the people regarding waste disposal. Due to these reasons, we have implemented a conditional reward system to appreciate the user for their valuable contribution towards cleaner environment.