학술논문

A Smart Framework for IoT Based Garbage Monitoring System
Document Type
Conference
Source
2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF) Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF), 2023 International Conference on. :1-7 Jan, 2023
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Economic indicators
Wireless networks
Urban areas
Liquid crystal displays
Acoustics
Timing
Internet of Things
Liquid Crystal Display (LCD) Display
Raspberry Pi (RPi)
Ultrasonic Sensor
ThingSpeak
Internet of Things (IoT)
Garbage Monitoring
Waste Collection
Language
Abstract
The improper management of waste in urban areas with higher densities of people encourages the growth of microorganisms that can make you sick. The frequency with which these litter containers are used varies by location. Periodic verification with timing gaps is ineffective. Sometimes, even before it's expected they may overflow. This study suggests a smart Internet of Things (IoT) based garbage monitoring mechanism to determine alert when the trash can be full to prevent the overflow and improve cleanup. This design approach collects and sends this data using a wireless network. Advanced technology can be used to prevent human error and carelessness during the waste disposal process. When the trash can fill to the top, an alarm buzzer alerts the concerned area's municipal corporation to empty it. The IoT waste monitoring system implemented on RPi consists of a power supply circuit, ultrasonic level sensors, a Raspberry Pi (RPi) digital controller, a Liquid Crystal Display (LCD) display, and a remote server.