EcoBin Connect : Smart Waste Management for Sustainable Cities

Abstract—The advent of IoT (Internet of Things) has revolutionized smart waste management, making waste collection more efficient and environmentally sustainable. With the integration of smart bins equipped with sensor technology, waste monitoring has become a real-time activity. These sensors provide real time data on bin levels, enabling route optimization for waste collection vehicles. This not only enhances waste segregation but also supports environmental sustainability by reducing unnecessary trips and fuel consumption. Advanced waste analytics and predictive maintenance further contribute to efficient recycling management and resource efficiency. By leveraging data-driven decision making, IoT-based smart waste management solutions offer sustainable waste solutions, promoting waste reduction and a smarter infrastructure for modern urban environments. Keywords—IOT (Internet of Things), Sensor Technology, Waste Segregation, Bin Level Monitoring, Resource Efficiency, Predictive Maintenance.

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2024-12-18
DOI
https://doi.org/10.55041/ijsrem38654
Primary Topic
Municipal Solid Waste Management
Type
article
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article

EcoBin Connect : Smart Waste Management for Sustainable Cities

Y. Mohana Roopa, Karthik Sri Muchinapalli, N Nikhil, R Nikhil
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Municipal Solid Waste Management
article

EcoBin Connect : Smart Waste Management for Sustainable Cities

Y. Mohana Roopa, Karthik Sri Muchinapalli, N Nikhil, R Nikhil
article en

Abstract

Abstract—The advent of IoT (Internet of Things) has revolutionized smart waste management, making waste collection more efficient and environmentally sustainable. With the integration of smart bins equipped with sensor technology, waste monitoring has become a real-time activity. These sensors provide real time data on bin levels, enabling route optimization for waste collection vehicles. This not only enhances waste segregation but also supports environmental sustainability by reducing unnecessary trips and fuel consumption. Advanced waste analytics and predictive maintenance further contribute to efficient recycling management and resource efficiency. By leveraging data-driven decision making, IoT-based smart waste management solutions offer sustainable waste solutions, promoting waste reduction and a smarter infrastructure for modern urban environments. Keywords—IOT (Internet of Things), Sensor Technology, Waste Segregation, Bin Level Monitoring, Resource Efficiency, Predictive Maintenance.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 08(12)
Aeronautical Development Agency (IN)
Openalex Percentile: Top 66%
Municipal Solid Waste Management
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EcoBin Connect : Smart Waste Management for Sustainable Cities — Y. Mohana Roopa, Karthik Sri Muchinapalli, et al. · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) | TGRS Research Map | TGRS