IoT based Smart Bin: A Swachh-Bharat Initiative

Praveen, Anagha; Radhika, R; M.U, Rammohan; Sidharth, D; Ambat, Sreehari; Anjali, T

doi:10.1109/icesc48915.2020.9155626

Cited by 30 publications

(3 citation statements)

References 3 publications

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“…Technique Goal/objective and limitations [11] IoT-based sensors with Waspmote microcontroller and ZigBee Pro communicator Reducing the overall cost of operation by finding the best route for garbage collecting vehicles [12] IoT-based sensors with MSP430 microcontroller [13] IoT-based sensors with Arduino Uno microcontroller [14] [17] Integration of IoT and AWS Google computer engine [15] IoT-based sensors with Raspberry Pi microcontroller Elimination of human contact by automating the opening and closing of the smart bin [16] IoT-based sensors with Raspberry Pi microcontroller Movable and self-opening and closing smart bin to avoid human interaction and maintain hygiene [20] IoT-based movable bin with L298 N motor driver [21] Integration of IoT and machine learning algorithm (fuzzy logic)…”

Section: Referencesmentioning

confidence: 99%

“…is project discusses the LoRa protocol, which has long-distance connectivity with low-power consumptions, which bring down the total budget and increase the communication distance. Few studies were done towards eliminating human contact with the garbage bin to improve hygiene and reduce the spread of diseases by making the movable and self-opening smart bin, and [15] discusses the focus of having sensors rather than human participation, which is the use of smart bins using an ESP8266 module that has two main pins, trigger pin and echo pin. An ultrasonic sensor is also placed on the lid of the smart bin, which detects objects over it.…”

Section: Introductionmentioning

confidence: 99%

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GRUBin: Time-Series Forecasting-Based Efficient Garbage Monitoring and Management System for Smart Cities

Mishra

Vajire

Saxena

et al. 2022

Computational Intelligence and Neuroscience

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The waste management of an evolving smart city environment is one of the most important tasks as the living conditions and health of the population depend on proper waste management. Currently deployed systems are failing to monitor the garbage production as they use IoT-based pipelines to monitor the production in a locality, but often the device is used to get destroyed by the frequent use of dustbin. This leads to an increase in expenditure and affects the sustainability of the system. In this work, we propose an efficient and scalable garbage monitoring and collection methodology based on time-series forecasting techniques. The proposed system is also cost-effective because of the iterative deployment of rented IoT sensors, which are used to collect time series format data and then used to train the forecasting module to learn the temporal representation of the data that can produce accurate results for monitoring the fill-up time of the garbage collector. We also propose an efficient collection in-routing technique based on the ranking of bin stations on the basis of temporal and spatial data of the fill-up time and route location to minimize the collection time by making an efficient routing algorithm for garbage collection. This concept of garbage collection will be very useful for smart city planners.

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Section: Referencesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

GRUBin: Time-Series Forecasting-Based Efficient Garbage Monitoring and Management System for Smart Cities

Mishra

Vajire

Saxena

et al. 2022

Computational Intelligence and Neuroscience

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show abstract

“…The project consists of a microcontroller, an ultrasonic sensor to detect the level of waste in the bin, a pressure sensor for cap status, a temperature sensor for an emergency in case of fire, Libelium SX1272 module to send the data to LoRa gateway, and Arduino IDE used for software implementation. IoT based Smart Bin [14], Praveen et al used two Ultrasonic sensors, first one to detect the level of the dustbin, the second to open the cap of the bin by servo motor connected to this sensor, ESP8266, and Raspberry Pi. The project supposes that every house has its dustbin, if someone approaches the dustbin, the dustbin will be opened in case it is not full, otherwise, it will remain closed.…”

Section: Literature Reviewmentioning

confidence: 99%

Smart bin monitoring system for smart waste management

Ahmed

Akkad

Rima

2020

MDT

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The fourth industrial revolution offers new technologies and solutions to increase efficiency, availability, flexibility, and decrease the economical footprint of manufacturing and service processes. In smart cities, a wide range of Industry 4.0 technologies can be used in the field of road traffic monitoring, health monitoring, and many operations, like the municipal waste collection. Internet of Things makes it possible to reduce the required material handling solutions of municipal waste collection, like loading and unloading, transportation, and warehousing. With smart waste management, no need for trucks to come every day and check every single dustbin if it is full or not as in the traditional situation, therefore the human power, time, cost, and spreading of toxic gas will be reduced. The amounts of the garbage will be monitored by sensors, pollution level by moisture sensor, and an odor sensor. The collected data can also be used to find the optimal path for the truck’s drivers. Within the frame of this article, the authors describe an on-line smart bin monitoring system.

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Waste Management by Using Smart Technology Application

Šarlina,

Kniežová

2024

Lecture Notes on Data Engineering and Communications Technologies

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IoT based Smart Bin: A Swachh-Bharat Initiative

Cited by 30 publications

References 3 publications

GRUBin: Time-Series Forecasting-Based Efficient Garbage Monitoring and Management System for Smart Cities

GRUBin: Time-Series Forecasting-Based Efficient Garbage Monitoring and Management System for Smart Cities

Smart bin monitoring system for smart waste management

Waste Management by Using Smart Technology Application

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