International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Automatic Waste Segregation System

Author(s) Prof. SUMA GURULINGAIAH CHARANTIMATH, Mohammed Junaid D, Praveen Kumar S, DastegeerAhamed, Pavan Kumar S
Country India
Abstract The Automatic Waste Segregation System is an innovative solution aimed at addressing the pressing issue of waste management in urban areas, where improper disposal poses significant health and environmental risks. Globally, an estimated 2.01 billion tons of municipal solid waste is generated each year, with a substantial portion remaining untreated, leading to severe health and environmental consequences. This automated system utilizes a combination of IR sensors, moisture sensors, and metal detectors to classify waste into three categories: wet, dry, and metallic. Upon detection, the system employs servo motors to efficiently direct the waste into designated bins, thereby streamlining the segregation process. The integration of an LCD display provides real-time feedback about the system's operations, enhancing user interaction and monitoring. By minimizing human intervention and maximizing efficiency, this system not only facilitates better waste management but also promotes environmental sustainability by encouraging recycling and reducing landfill contamination. The implementation of this technology at local levels can significantly alleviate the burden on municipal authorities and contribute to a cleaner, healthier urban environment.
Keywords Automatic waste segregation, smart waste management, IR sensor, moisture sensor, metal detector, servo motor, waste classification, wet waste, dry waste, metallic waste, LCD display, real-time monitoring, urban waste solutions, solid waste management, environmental sustainability, recycling automation, smart bin system, municipal solid waste, clean technology, sensor-based sorting
Field Engineering
Published In Volume 7, Issue 4, July-August 2025
Published On 2025-07-06
DOI https://doi.org/10.36948/ijfmr.2025.v07i04.50229
Short DOI https://doi.org/g9s9hq
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