IoT E-Waste Monitoring System to Support Smart City Initiatives

Ali, Nurul Aifah Liaqat; Ramly, Ruwaida; Sajak, Aznida Abu Bakar; Alrawashdeh, Rula

doi:10.30880/ijie.2021.13.02.001

Cited by 8 publications

(2 citation statements)

References 5 publications

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“…The project uses the Arduino Uno platform to connect sensors and collect sensor data. Ali et al [3] developed an intelligent electronic waste tracking system based on the Internet of Things, which uses the KY-026 flame sensor and DS18B20 temperature sensor to monitor the status of electronic waste. The system also uses an HC-SR04 ultrasonic sensor to measure debris levels.…”

Section: Singh Et Al [32] Provide Anmentioning

confidence: 99%

Review on Development of E-Waste Management System

Burange

2024

IJRASET

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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.

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Section: Singh Et Al [32] Provide Anmentioning

confidence: 99%

Review on Development of E-Waste Management System

Burange

2024

IJRASET

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“…Ali et al [3] developed an IoT-based smart e-waste monitoring system that utilizes a DS18B20 temperature sensor and a KY-026 flame sensor to monitor the condition of the e-waste bin. The system also uses an HC-SR04 Ultrasonic sensor to measure the waste level.…”

Section: Abba and Lightmentioning

confidence: 99%

Smart e-waste management system utilizing Internet of Things and Deep Learning approaches

Voskergian,

Ishaq

2023

SCS

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Electronic waste is presently acknowledged as the rapidly expanding waste stream on a global scale. Consequently, e-waste represents a primary global concern in modern society since electronic equipment contains hazardous substances, and if not managed properly, it will harm human health and the environment. Thus, the necessity for more innovative, safer, and greener systems to handle e-waste has never been more urgent. To address this issue, a smart e-waste management system based on the Internet of Things (IoT) and Deep Learning (DL) based object detection is designed and developed in this paper. Three state-of-the-art object detection models, namely YOLOv5s, YOLOv7-tiny and YOLOv8s, have been adopted in this study for e-waste object detection. The results demonstrate that YOLOv8s achieves the highest mAP@50 of 72% and map@50-95 of 52%. This innovative system offers the potential to manage e-waste more efficiently, supporting green city initiatives and promoting sustainability. By realizing an intelligent green city vision, we can tackle various contamination problems, benefiting both humans and the environment.

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