AI Powered Garbage Detection System
Mehveen Mehdi Khatoon,
P Meghana and
P Malathi
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2022, vol. 8, issue 5, 317-320
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.
Keywords: Deep Learning Model; Tensor Flow Framework; Classification. (search for similar items in EconPapers)
Date: 2022
Note: Article URL: https://ijsrcseit.com/CSEIT2390274
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Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v8:y2022:i5:id:hcseit2390274
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