Smart Street An (AI)Artificial Powered Street Garbage Detection And Alert System

Main Article Content

Santhosh Thotapally
k.Rohith
G.Shirisha
V.Rajesh

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.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Article Details

How to Cite
Thotapally, S., k.Rohith, G.Shirisha, and V.Rajesh. “Smart Street An (AI)Artificial Powered Street Garbage Detection And Alert System”. Technix International Journal for Engineering Research, vol. 9, no. 6, June 2022, pp. 103-6, https://tijer.org/index.php/tijer/article/view/200.
Section
Research Articles

References

https://www.w3schools.com/

https://www.mysql.com/

https://github.com/webyog/sqlyog-community/wiki/Downloads

https://github.com/

https://www.djangoproject.com/

https://www.jetbrains.com/pycharm/

https://smartstreet.mystrikingly.com/

https://www.alertsystems.co.uk/