Trash Tide Collecting System using GSM and GPS - IOT

The accumulation of unmanaged waste poses significant health and environmental risks, especially in rapidly growing urban areas. This paper presents a smart waste monitoring system that leverages Internet of Things (IoT) technology to track waste levels in real-time and improve the efficiency of waste collection. By using ultrasonic sensors connected to IoTenabled devices, this system detects waste levels in garbage bins and sends notifications when bins require servicing. These alerts help in timely waste management, reducing overflowing bins and enhancing public cleanliness. This model’s practical implementation can contribute to a cleaner environment and support smart city initiatives

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-11-18
DOI
https://doi.org/10.22214/ijraset.2024.65285
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Trash Tide Collecting System using GSM and GPS - IOT

Mrs. V. R. Sonar
International Journal for Research in Applied Science and Engineering Technology
IoT-based Smart Home Systems
article

Trash Tide Collecting System using GSM and GPS - IOT

Mrs. V. R. Sonar
article en

Abstract

The accumulation of unmanaged waste poses significant health and environmental risks, especially in rapidly growing urban areas. This paper presents a smart waste monitoring system that leverages Internet of Things (IoT) technology to track waste levels in real-time and improve the efficiency of waste collection. By using ultrasonic sensors connected to IoTenabled devices, this system detects waste levels in garbage bins and sends notifications when bins require servicing. These alerts help in timely waste management, reducing overflowing bins and enhancing public cleanliness. This model’s practical implementation can contribute to a cleaner environment and support smart city initiatives

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(11)
Openalex Percentile: Top 82%
IoT-based Smart Home Systems
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