A Smart Management System For Garbage Classification Using Deep Learning

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Nagaraj, O. Sri Nagesh, Kallepalli Rohit Kumar, V. Biksham

Abstract

Thanks to the development of artificial intelligence (AI), the outdated trash system now offers better time monitoring and enables for better waste management. The purpose of this paper is to develop a smart sterile management system using a Tensor Flow-based deep learning model. In real time, it recognizes and categorizes items. Metal, plastic, and paper waste are separated from other sorts of trash in the bin's several divisions. Object detection and garbage classification are carried out using the Tensor Flow framework and a trained object recognition model. In order to create a frozen inference graph that can be used to recognize things using a camera, this trash detection model is trained on garbage photographs.

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How to Cite
Nagaraj, et al. (2023). A Smart Management System For Garbage Classification Using Deep Learning. International Journal on Recent and Innovation Trends in Computing and Communication, 11(10), 1285–1289. https://doi.org/10.17762/ijritcc.v11i10.8671
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Articles
Author Biography

Nagaraj, O. Sri Nagesh, Kallepalli Rohit Kumar, V. Biksham

Nagaraj1, O. Sri Nagesh2, Kallepalli Rohit Kumar3, V.Biksham4

1Assistant Professor, Department of CSE, Anurag University, Hyderabad, India

nagaraj.cse@anurag.edu.in

2Associate Professor, Department of CSE, Anurag University, Hyderabad, India

nagesh.osri@gmail.com

3Associate Professor, Department of CSE, Sreyas Institute of Engineering and Technology, Hyderabad, India

krk542@gmail.com

4Assistant Professor, Department of CSE, Anurag University, Hyderabad, India

vbm2k2@gmail.com