Deep Learning Techniques for Garbage Classification

Recycling of waste from households and industries is one of the methods that has been proposed to reduce the ever-increasing pressure on landfills. Different types of waste types warrant different management techniques and hence, proper waste segregation according to its types is essential to facilitate proper recycling. The current existing segregation method still relies on the manual hand-picking process. In this paper, a method; based on deep learning is used to classify wastes using their images into six different waste types (glass, metal, paper, plastic, cardboard, and trash) has been proposed. Here, Convolutional Neural Network (CNN) model has been used for the classification of waste.

Keywords: Garbage, Classification, Deep Learning, CNN