Published Paper Details:

The scope of the proposed project is to trace back the plastic products from the garbage dumps to the manufacturers.The project aims to deliver a portal to the citizens to report the nuisance of plastic waste that has been generated at a specific location and at a given time. The aim is that the entire system is automated with the citizens having to make minimal effort to capture images of the scene. The project will then provide comprehensive data regarding distribution of plastic waste by different brands/products in different locations along with the time-stamp. The following paper provides a solution in the form of an android application (client) to provide accessibility to the Deep Learning model-YOLOv3 at the server which automates the process of accepting the input image and identifying the brand and counting the trail of plastic products. User�s location and time will be captured from the android application. If a plastic product is detected in the given input, the corresponding data is pushed into the database (MySQL) for storage and timely analysis of location specific and brand specific plastic.