Smart Dustbin using IOT
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.2.27Keywords:
Smart dustbin, Dijkstra’s algorithm, LCD, wireless fidelity, global positioning system.Dimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Living in a technological world that is upgrading day by day, there is one major problem that should be dealt with. Garbage, which is the issue preventing us from developing into a sanitary, clean, and healthy society. In our daily lives, we frequently encounter trash cans that are overflowing with junk. Neither our environment nor our growth benefit from situations like this. Due to the abundance of flies and mosquitoes that breed on the garbage, this issue has a significant negative impact on health. As a result, this project is designed to prevent the trashcan from becoming overfilled by giving it the ability to alert itself when it needs to be cleaned. The smart trash bin system in this project is built on a microcontroller and has ultrasonic sensors on each of the two trash cans to display the garbage's current status on an LCD screen and a smartphone.Abstract
How to Cite
Downloads
Similar Articles
- Deepa S, Sripriya T, Radhika M, Jeneetha J. J, Experimental evaluation of artificial intelligence assisted heart disease prediction using deep learning principle , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Abhishek Dwivedi, Shekhar Verma, SCNN Based Classification Technique for the Face Spoof Detection Using Deep Learning Concept , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- A. R. Jasmine Begum, M. Parveen, S. Latha, IoT based home automation with energy management , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- S. Hemalatha, N. Vanjulavalli, K. Sujith, R. Surendiran, Effective gorilla troops optimization-based hierarchical clustering with HOP field neural network for intrusion detection , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Madhuri Prashant Pant, Jayshri Appaso Patil, Unlocking the potential of big data and analytics significance, applications in diverse domains and implementation of Apache Hadoop map/reduce for citation histogram , The Scientific Temper: Vol. 16 No. Spl-2 (2025): The Scientific Temper
- Josephine Theresa S, A Framework for Environment Thermal Comfort Prediction Model , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Sathya R., Balamurugan P, Classification of glaucoma in retinal fundus images using integrated YOLO-V8 and deep CNN , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- S. TAMIL FATHIMA, K. FATHIMA BIBI, Early diagnosis of cardiac disease using Xgboost ensemble voting-based feature selection, based lightweight recurrent neural network approach , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Kowsalya Ramasamy, Thiyagarajan Krishnan, Performance analysis of RF substrate materials in ISM band antenna applications , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- O. Devipriya, K. Kungumaraj, Enhancing cloud efficiency: an intelligent virtual machine selection and migration approach for VM consolidation , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
<< < 8 9 10 11 12 13 14 15 16 17 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Jonah, Danush Kumar SM, Yugeshkrishnan M, Santhoshkumar K, Shahid Gaffa, Satellite hardfacing of mild steel using robotic mig welding , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper

