Smart Street An (AI)Artificial Powered Street Garbage Detection And Alert System
Paper Title: Smart Street An (AI)Artificial Powered Street Garbage Detection And Alert System
Authors Name: Santhosh Thotapally , k.Rohith , G.Shirisha , V.Rajesh
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Author Reg. ID: TIJER_100047
Published Paper Id: TIJER2206020
Published In: Volume 9 Issue 6, June-2022
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: Smart Street An (AI)Artificial Powered Street Garbage Detection And Alert System
Downloads: 000646
Page No: 103-106
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Research Area: Science and Technology
Published Paper URL: https://tijer.org/TIJER/viewpaperforall?paper=TIJER2206020
Published Paper PDF: https://tijer.org/TIJER/papers/TIJER2206020
ISSN:
2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar| ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER(IJPublication)
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