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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 117
Article Submitted : 21307
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Total Authors : 22301
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Published Paper Details
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| Paper Title: | Fully Automated Garbage Disposal And Management Using Artificial Intelligence, Machine Learning And The Internet Of Things. |
| Authors Name: | Chithrai Selvan S |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_186811
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| Published Paper Id: | IJRTI2305167 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | https://doi.org/10.5281/zenodo.10675452 |
| Abstract: | The world is facing a significant environmental challenge due to the increasing amount of waste generated daily. The increasing population, consumption and industrialization has also led to an unprecedented growth in waste generation. Proper waste management is necessary to address this issue. The traditional waste management system is no longer effective, and there is a need for innovative solutions to manage waste efficiently and making it easy for users to dispose of their waste while also promoting recycling and environmental conservation. Improper waste disposal can lead to environmental pollution, soil contamination, and negative impacts on human health. Therefore, there is an urgent need to develop efficient waste management systems to minimize the negative impacts of waste on the environment and human health. In order to overcome these negative impacts of wastes on the environment we have developed a Spiro Trash Bin system to make an advanced waste management solution that uses technology to detect, sort, and manage waste efficiently. The system incorporates advanced features such as IR sensors, EPS32 CAM, OpenCV, servo motors, and an Arduino microcontroller to provide an automated and eco-friendly waste management solution.This system will provide a positive impact on environment and motivates the people to manage the waste effectively. The system will also enable proper waste management ,helps in reducing waste and plays a major role in the environment protection. |
| Keywords: | H5 Dataset, Machine learning, Internet of Things, Artificial Intelligence. |
| Cite Article: | "Fully Automated Garbage Disposal And Management Using Artificial Intelligence, Machine Learning And The Internet Of Things.", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1066 - 1085, May-2023, Available :http://www.ijrti.org/papers/IJRTI2305167.pdf |
| Downloads: | 000205423 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2305167
Registration ID:186811
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier): https://doi.org/10.5281/zenodo.10675452
Page No: 1066 - 1085 Country: Chennai, Tamil Nadu, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2305167 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2305167 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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