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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | Bin Based Waste Segregation Using IoT & Sensors |
| Authors Name: | Mrs. G. Lakshmi Sunitha , P. Lokesh , SK. Ibrahim , V.K.V. Sai Lakshmi , A. Chinmay Ram |
| Download E-Certificate: | Download |
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IJRTI_202486
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| Published Paper Id: | IJRTI2504207 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | Abstract: A Waste management has become a critical challenge in modern urban environments. Improper waste disposal leads to environmental pollution, health hazards, and inefficient recycling. This project presents an IoT-enabled bin-based waste segregation system that automatically classifies and sorts waste into designated partitions using sensors and an ESP32 microcontroller. The system operates by detecting the type of waste—dry, wet, or metal—using appropriate sensors. Once waste is deposited into the bin, the sensors analyze its properties, and the ESP32 microcontroller processes the data to determine the waste type. Based on the classification, a tilting platform adjusts its position to guide the waste into the corresponding partition. Additionally, an actuator mechanism ensures efficient movement of waste into the designated section. To enhance real-time monitoring and data accessibility, the system is integrated with IoT connectivity. The ESP32 transmits waste data to an IoT platform, allowing users or waste management authorities to track bin status, optimize collection schedules, and analyze waste generation patterns. This automation minimizes human intervention, improves waste sorting efficiency, and supports sustainable recycling efforts. The proposed smart waste segregation system is an efficient, low-cost, and scalable solution for smart cities, industrial zones, and households, contributing to a cleaner and greener environment. |
| Keywords: | Keywords: IoT-based waste management, Smart waste segregation, ESP32 microcontroller, Sensor-based waste classification, Dry, wet, and metal waste detection, Automated waste sorting, Real-time monitoring, Actuator mechanism, Tilting platform, Smart bin system, Waste data analytics, Environmental sustainability, Smart cities, Low-cost scalable solution, Recycling efficiency. |
| Cite Article: | "Bin Based Waste Segregation Using IoT & Sensors", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b848-b855, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504207.pdf |
| Downloads: | 000539 |
| 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 |
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Published Paper ID: IJRTI2504207
Registration ID:202486
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b848-b855 Country: Visakhapatnam, Andhra Pradesh, India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504207 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504207 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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