DNN Architecture for Waste Segregation

This proposal discusses how automated systems based on Convolutional Neural Network architectures can improve food waste segregation. It provides a background of the study, problem statement, rationale, aims and objectives, research questions, and literature review. The study aims to create an automated system that detects and identifies food waste with the help of a deep neural networking-based architecture.