AI Powered Garbage Detection System

Authors

  • Mehveen Mehdi Khatoon  Associate Professor, Department of Information Technology, Bhoj Reddy Engineering College for Women, Hyderabad, India.
  • P Meghana  Department of Information Technology, Bhoj Reddy Engineering College for Women, Hyderabad, India.
  • P Malathi  Department of Information Technology, Bhoj Reddy Engineering College for Women, Hyderabad, India.

Keywords:

Deep Learning Model, Tensor Flow Framework, Classification.

Abstract

The aim of this research is to develop a smart waste management system using TensorFlow based deep learning model. It performs real time object detection and classification. The bin consists of several compartments to segregate the waste including metal, plastic, paper. Object detection and waste classification is done in TensorFlow framework with pre-trained object detection model. This program classifies an input image as clean/unclean. This can later be used to automatically send alerts to respective authorities when a street is found to be unclean. Once a street is found to be unclean, it automatically sends an email alert to the respective authorities who can then take action. It is impossible to manually identify streets that require cleaning at a given time. With "CCTV Street Garbage Detection and Alert System", authorities can get updates about the streets that are unclean.

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Published

2022-10-18

Issue

Section

Research Articles

How to Cite

[1]
Mehveen Mehdi Khatoon, P Meghana, P Malathi, " AI Powered Garbage Detection System" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 5, pp.317-320, September-October-2022.