Smart BIN for a Smarter city: Monitoring and Alerting for a Clean Environment

Sreya, Kolachalama Venkata Naga; Amirtharajan, Rengarajan; Praveenkumar, Padmapriya

doi:10.1109/iccci54379.2022.9740987

Cited by 4 publications

(4 citation statements)

References 11 publications

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“…This section summarizes on the discussion of various existing methods as contemplated by various authors. In [3][4][5] the authors propose a smart bin that automatically monitors the level of the bin and opens the lid with a light during night time. This does not integrate a shortest route feature which make the bins to overflow.…”

Section: Discussion On Existing Systemsmentioning

confidence: 99%

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Smart Bin for Solid Waste Management in Cities

Nandakumar,

Eldhose,

Anil

et al. 2023

Jnl. Appl. Sci. Eng. Tech. and Mgmt.

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With the increase in population, the amount of waste generated has increased significantly worldwide and proper waste management has become inevitable. In majority of the cities, trash cans are over flowing due to untimely management of waste. An effective system is required to collect the waste from trash cans and prevent overflow. For cleaner environment and implementation of smart cities, it is essential to reduce overflowing litter cans by a monitoring system. The proposed system keeps track on trash cans and detects the level in it and updates it in a web page. The same could be viewed on a mobile app of the garbage collector and determine the shortest path by linking various routes of the almost full bins. Alerts are produced as in app-notifications for the user. The IoT based garbage monitoring system will enable to maintain a cleaner community.

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Section: Discussion On Existing Systemsmentioning

confidence: 99%

“…Moreover, a system is required that gives alert to the concerned people. We combined the ideas of both [3,9] in which the lid would automatically open and close on detecting human presence with the help of sensors. Also, an LED would be on indicating the level of trash in the garbage if it exceeds a preset value.…”

Section: Discussion On Existing Systemsmentioning

confidence: 99%

Smart Bin for Solid Waste Management in Cities

Nandakumar,

Eldhose,

Anil

et al. 2023

Jnl. Appl. Sci. Eng. Tech. and Mgmt.

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“…2) Benefits of using smart bins: With the aid of smart bins, less manpower will be needed to gather information on the status of the bin (such as full or damaged). [1] Across several nations, smart trash cans are utilized to mitigate issues with traditional trash cans. They automatically separate waste materials based on specific characteristics, and they can sound an alert to reputable organizations when the bin is full and has to be empty [9].…”

Section: Figure1 1 Garbage In Metropolitan Citiesmentioning

confidence: 99%

Geospatial-Enabled Smart Bins: Optimizing Waste Management for a Cleaner Environment

Gorla,

Alekhya,

Kashimshetty

et al. 2024

IJRASET

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As technology advances, a greater number of aspects of human existence use it to improve response times to customers by cutting down on latency and speeding up processing. The "smart bins" were one such device. Despite being user-friendly for citizens, it is more useful for organizations, as it uses sensors to generate information on the bin's status, such as if it is full. Our focus is to create a smart bin that is also user-friendly for citizens. With the use of these smart bins, residents can quickly and easily report any issues they are having with the bin to the respected organization. Our objective benefits the organizations as well as the citizens. Our smart bins are equipped with Geospatial technology, so based on citizen complaints about specific bins, an online platform will determine the fastest way to visit every bin in the least amount of time. Using this method, organizations may solve the issue faster and with less personnel. In this way, everyone will become accountable for their locality and the globe will be hygienic.

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“…The trucks are assumed to have GPS facility enabled so that tracking the location of the truck would be easy. The truck is chosen by the fog node by comparing the distance between the bin and the truck and the truck which is the shortest distance from the bin would be given the signal to do the trash pickup (Sreya et al, 2022). The optimal route is passed to the truck by the Google API so that the route with less congestion is selected thus reducing the fuel consumption and emission of CO2.…”

Section: Data Processing and Truck Managementmentioning

confidence: 99%

Bin Bay: An Optimized Smart Waste Disposal System for a Sustainable Urban Life using LSTM and Fog Computing

Duela¹,

Sara²,

Prabavathi³

2022

Journal of Computer Science

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To create green and smart cities, a smart and planned Waste Management System (WMS) is a vital requirement. With the increase in the urban population and service delivery difficulties, smart cities are integrating technologies such as smart waste bins and Radio Frequency Identification (RFID) tags into their day-to-day operations to make solid waste management and control more effective. Fog computing in waste management is becoming common in smart utilities as it provides benefits like a minimal amount of data sent to the cloud, reduced bandwidth, and Low data latency. The proposed work focuses on residential customers using waste collection services. Smart Waste Disposal System for a sustainable urban life using Fog Computing called Bin Bay is proposed to optimize the collection of waste with the shortest path using Google Map API support from Fog Layer for which four major parameters are considered namely: The distance between truck and bin, the status of the bin (what percentage of it is filled), the capacity of the truck and the position of the truck. The Bin Bay model helps to save time by determining the most efficient waste pickup route for waste disposal. The RFID Reader and Scanner help in updating the fog nodes with the date, time, and volume of trash pickup which could be further analyzed to keep on-time service delivery. Also, predictions on future waste growth shall be determined by doing in-depth analysis in the cloud using LSTM which will intelligently learn and predict the waste patterns based on the summary submitted by the aggregate node of the fog layer and since the optimized routes lead to less fuel consumption, CO2 emission also shall be greatly reduced.

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Smart BIN for a Smarter city: Monitoring and Alerting for a Clean Environment

Cited by 4 publications

References 11 publications

Smart Bin for Solid Waste Management in Cities

Smart Bin for Solid Waste Management in Cities

Geospatial-Enabled Smart Bins: Optimizing Waste Management for a Cleaner Environment

Bin Bay: An Optimized Smart Waste Disposal System for a Sustainable Urban Life using LSTM and Fog Computing

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