IoT-Based Framework for Smart Waste Monitoring and Control System: A Case Study for Smart Cities

Abba, S.I.; Light, Chinaka Ihechukwu

doi:10.3390/ecsa-7-08224

Cited by 10 publications

(5 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most of the waste management information that can be found in the literature recommends the use of smart devices or bins, prioritizing IoT-based recycling and sorting devices such as glass, bottles and plastic. Abba and Light [1] describe the design and implementation of an IoT-based Arduino microcontroller with ultrasonic sensors. The main purpose of this system is to measure the amount of waste accumulated in different areas.…”

Section: Literature Surveymentioning

confidence: 99%

Review on Development of E-Waste Management System

Burange

2024

IJRASET

View full text Add to dashboard Cite

Today, the advancement of technology has the power to change everyone's life. Although this innovation is beneficial, it creates serious effects on human health and environmental health. One of the main reasons for this is "e-waste" resulting from electronic products. With the use of electronic products all over the world, the amount of "e-waste" or e-waste has also increased and this has now become a serious problem. Improper disposal of e-waste has become an environmental and public health problem as it now accounts for the largest portion of water litter in the world's cities. Therefore, correct classification and management of e-waste requires the recovery of important information about waste. These growing wastes are hard in nature and rich in metals such as neodymium, indium, palladium, tantalum, platinum, gold, silver, lead and copper, which can be recovered from discards and brought back to the earth. Production cycle and daily use. In this project, a deep learning model is used to identify e-waste and general waste using image processing. The design model, on the other hand, selects the waste with good accuracy and takes less time. Wastes are divided into two groups according to the amount or value in the waste. By using this model effectively, we can solve e-waste management problems, improve recycling and contribute to environmental sustainability.

show abstract

Section: Literature Surveymentioning

confidence: 99%

Review on Development of E-Waste Management System

Burange

2024

IJRASET

View full text Add to dashboard Cite

show abstract

“…These methods have been applied and integrated into the paper's structure with ease. Abba and Light [5] developed an IoT-based Arduino microcontroller with ultrasonic sensors to measure waste levels in distributed trash cans. The system continuously monitors bins, displaying data ('filled,' 'half-filled,' 'empty') on an LCD screen and transmitting content-level data to a central web-server for remote monitoring by authorities and users.…”

Section: Related Workmentioning

confidence: 99%

Smart E-Waste Management System

2024

IRJMETS

View full text Add to dashboard Cite

Electronic waste is currently recognized as the waste stream that is growing the fastest. Since electronic equipment contains hazardous materials, improper management could harm both human health and the environment. E-waste is a major global concern in modern society. Therefore, there is a greater need than ever for more inventive, secure, and environmentally friendly methods of handling e-waste. This paper introduces a smart waste management system based on deep learning (DL)-based object detection, and the Internet of Things (IoT) is de-signed and developed to tackle this problem. The object detection models, namely Mobile Net and YOLO, have been adopted in this study for object detection. With the help of this creative system, e-waste management could become more effective, bolstering green city projects and encouraging sustainability. By implementing an intelligent green city vision, we can address a range of contamination issues that will help both the environment and people.

show abstract

“…The garbage cans were loaded up with squanders at various levels and the comparing unfilled levels of each and every garbage can were checked through the wise GUI. As per [6] the plan and execution of a web of things (IoT) based Arduino microcontroller working with the ultrasonic sensors that identifies the degree of waste in the trash canister put in trash areas and continually at customary spans show the status data as "filled", "half-filled", or "void" on a LCD screen, as well as send the substance level data at those stretches to a focal web-server framework that shows the trash container levels graphically. This is accomplished utilizing a microcontroller, a Wi-Fi module, and ultrasonic sensors.…”

Section: IImentioning

confidence: 99%

Implementation and Recognition of Waste Management in Smart Cities Using IOT

Mhaske

2023

IJRASET

View full text Add to dashboard Cite

The Internet of Things (IoT) is enabled by the proliferation of devices such as RFIDs, sensors, and actuators. As an expected infrastructure for the envisioned concept of a Smart City, the Internet of Things (IoT) opens up new possibilities for city management. The Internet of Things vision presents intriguing and cost-effective alternatives for big data collection. The municipal rubbish bins are overflowing in many places, and they must be cleaned on a regular basis. Recently, it has been observed that dustbins in public places such as hospitals, educational institutes, and industries are overflowing. Overflowing garbage cans produce unsanitary conditions that can spread disease. Furthermore, the rapid increase in population waste leads to inefficient waste management. We designed a new method, the "Smart City Garbage Collection Monitoring System," to avert this issue. Urbanisation has increased dramatically in recent decades. At the same time, trash output is increasing. Waste management has been an important subject to consider. This system is a means of achieving this noble goal. The smart bin in this article is developed on a microcontroller-based platform Arduino UNO board, which is interfaced with a GSM modem and Ultrasonic sensor, as well as the weight Sensor, which is used to calculate the weight of the dustbins. Arduino will be programmed so that when the dustbin is filled, the remaining height from the threshold height will be displayed. Once the garbage reaches the threshold level, the ultrasonic sensor will trigger the location data, continuously alerting the required authority until the trash in the dustbin is squashed. According to the location, the power will send the message to the respective operator; a garbage vehicle can collect the garbage, which is done with the help of a robot mechanism.

show abstract

IoT-Based Framework for Smart Waste Monitoring and Control System: A Case Study for Smart Cities

Cited by 10 publications

References 10 publications

Review on Development of E-Waste Management System

Review on Development of E-Waste Management System

Smart E-Waste Management System

Implementation and Recognition of Waste Management in Smart Cities Using IOT

Contact Info

Product

Resources

About