International Journal For Multidisciplinary Research

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IOT Based Waste Management and Segregation System

Author(s) BEENA.K, SANTHI.P
Country India
Abstract Both urban and rural life depend heavily on the handling and collection of waste. A poorly planned and inefficient waste collection system raises costs and harms the general public’s health. The existing method of collecting conventional
garbage is neither the best or most efficient. By enabling intelligent, adequate, and self-sufficient systems, the Internet of Things, or IoT, has proven important in boosting human well-being. Thus, the paper suggests an Internet of Things based efficient waste collection system with smart bins. This selects the bins that require emptying at the beginning of each garbage collection cycle and tracks them in real time.0ur waste segregation system can be sent straight for processing with the help of our affordable, user-friendly Automatic Waste Segregator. The garbage will be divided into three categories: dry, wet, and
metallic waste. Hardware design incorporates machine learning based algorithms to identify plastic garbage. The project also intends to incorporate an Internet of Things communication system to notify the waste collection authorities when the waste container is filled. The ultrasonic waste level sensor and the esp32 wall board, which regulate system functions, make up the
proposed system. In order to ensure that the trash gets picked up right away, it can also send an IoT-based warning message to the municipality when the trash can is almost full or full. Reducing human resources and efforts in addition to enhancing the Smart City vision is a key aim of this project. In addition, it is expected that the efficiency of solid waste management will be improved.
Keywords Internet of Things (IoT), smart cities, smart bins, sensors, and smart trash monitoring and control
Field Engineering
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-06-06
Cite This IOT Based Waste Management and Segregation System - BEENA.K, SANTHI.P - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.21809
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.21809
Short DOI https://doi.org/gtxrpw
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