Publication Type : Journal Article
Publisher : IEEE
Source : Proceedings of the 5th International Conference on Communication and Electronics Systems, ICCES 2020,June 2020, Article number 09137938, Pages 1086-1089
Url : https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9137938
Campus : Coimbatore
School : School of Engineering
Department : Electronics and Communication
Verified : No
Year : 2020
Abstract : India is the second most populated country in the world and it is still facing hindrances to its development on waste management. It is believed that 10 million tons of waste is produced just by the metropolitan cities in India. In this work, a way to classify the waste and find the category of it is proposed with a well-defined and labelled data set of images consisting of categories (plastic, paper, cardboard, metals) using Convolutional Neural Network (CNN). Images are categorized based on their properties by the help of a self-learning neural network. The designed classifier learns from the image data provided for training purpose. The classifier uses the method of supervised learning where the algorithm learns from a labelled data set. With this method a testing accuracy of 76% is achieved.
Cite this Research Publication : Sidharth, R., Rohit, P., Vishagan, S., Karthika, R., Ganesan, M., Deep learning based smart garbage classifier for effective waste management, Proceedings of the 5th International Conference on Communication and Electronics Systems, ICCES 2020,June 2020, Article number 09137938, Pages 1086-1089