Automatic Waste Segregation

Abstract: This project presents an Automatic Waste Segregation System that classifies and sorts waste into three categories: wet (organic), dry, and metallic. The system utilizes integrated sensors – moisture sensors for wet waste detection, capacitive sensors for dry waste identification, and inductive proximity sensors for metal recognition. Upon detection, waste items are released from an upper collection chamber into a dynamically positioned bin assembly. A stepper motor-driven rotating platform aligns the corresponding category-specific container (wet, dry, or metal) beneath the discharge point based on real-time sensor feedback processed by the Arduino Uno. This mechanized approach eliminates direct human contact with waste, enhances sorting efficiency, and provides a scalable solution for improved recycling workflows.

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Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-11-13
DOI
https://doi.org/10.48175/ijarsct-29474
Primary Topic
Industrial Automation and Control Systems
Type
article
Field-Weighted Citation Impact
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article

Automatic Waste Segregation

Mayank Kulkarni, V. B. Utpat, Sudesh Godase, Digvijay Khilare
International Journal of Advanced Research in Science Communication and Technology
Industrial Automation and Control Systems
article

Automatic Waste Segregation

Mayank Kulkarni, V. B. Utpat, Sudesh Godase, Digvijay Khilare
article en

Abstract

Abstract: This project presents an Automatic Waste Segregation System that classifies and sorts waste into three categories: wet (organic), dry, and metallic. The system utilizes integrated sensors – moisture sensors for wet waste detection, capacitive sensors for dry waste identification, and inductive proximity sensors for metal recognition. Upon detection, waste items are released from an upper collection chamber into a dynamically positioned bin assembly. A stepper motor-driven rotating platform aligns the corresponding category-specific container (wet, dry, or metal) beneath the discharge point based on real-time sensor feedback processed by the Arduino Uno. This mechanized approach eliminates direct human contact with waste, enhances sorting efficiency, and provides a scalable solution for improved recycling workflows.

International Journal of Advanced Research in Science Communication and Technology
Sinhgad Dental College and Hospital (IN)
Openalex Percentile: Top 57%
Industrial Automation and Control Systems
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