Waste Management Detection Using Deep Learning
Pokkuluri Kiran Sree, Phaneendra Varma Chintalapati, SSSN Usha Devi N, Mukesh Prasad, Gurujukota Ramesh Babu, P. B. V. Raja Rao
Abstract
In the modern world waste pollution is the challenging environmental issues. To reduce pollution, we need to recycle the waste. In order to recycle waste, one must know which category the waste belongs to. Waste classification is a social issue related to people’s livelihood, so letting smart systems perform intelligent waste classification has important significance. So, we are here with a waste detection system that uses deep learning and categorizes the waste plastic or non-recyclable or glass or bio or others. The proposed system is trained and tested to detect the classify the waste using the CNN(Convolution Neural Network) i.e. a deep learning algorithm. The image of the waste material is fed into a neural network which determines the class of object. We have considered precision, recall and F1 Score as performance metrics to evaluate our model. The proposed model is compared with existing baseline models like machine learning, basic neural networks and datamining approach. The developed deep learning model has outperformed the existing literature with chosen parameters.