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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM21493

IoT BASED SMART GARBAGE MONITORING SYSTEM

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM21493

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

M

Ms.T.Kirubavathi

MS

Mr.M.B.Siva Shankar

M

Mr.K.Santhosh

M

Mr.P.Sathishkumar

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Abstract

The IoT-Based Smart Garbage Monitoring and Domestic Care System leverages Arduino and various sensors to provide an intelligent solution for waste management and domestic care. The system utilizes ultrasonic sensors to measure the fill levels of bins, detecting when they are near capacity. An IR sensor identifies the presence of waste in real time, and a moisture sensor classifies the waste as either wet or dry. This classification enables the system to segregate waste using a servo motor for proper disposal. Additionally, a gas sensor monitors harmful gases like methane, which may indicate hazardous conditions. The ultrasonic sensor measures the bin’s level by emitting ultrasonic waves and measuring the time taken for the waves to bounce back after hitting the surface of the waste. By utilizing this data, the system can determine the fill level of the dustbin.

KEYWORDS

IoT-Based Waste Management Smart Garbage Monitoring Domestic Care System Arduino Microcontroller Ultrasonic Sensor IR Sensor Moisture Sensor Wet and Dry Waste Segregation Servo Motor Gas Sensor Methane Detection Real-Time Monitoring Smart Dustbin Hazardous Gas Monitoring Intelligent Waste Disposal Ultrasonic Wave Measurement IoT Applications Sustainable Waste Management Environmental Monitoring

Cite This Article

Ms.T.Kirubavathi, Mr.M.B.Siva Shankar, Mr.K.Santhosh, Mr.P.Sathishkumar, "IoT BASED SMART GARBAGE MONITORING SYSTEM," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023.

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Publication Date

7/11/2024

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Double-Blind Peer Review

Review Rounds: 2

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0

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5

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The authors declare no conflict of interest related to this research work.

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