Mustaffa Kamal, Muhammad Umair (2020) Implementation of IoT in smart garbage system. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)
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Abstract
This thesis presents the Implementation of IoT in Smart Garbage System using Blynk that enables users to monitor the capacity of their garbage bins. To take care of and improve the cleanliness around us, such steps should be taken. This project is to develop Blynk, an IoT platform-related waste monitoring system. An ultrasonic sensor will be attached on top of the bin in this device to read the amount of garbage. In the android app, the garbage amount will be notified. Real-time details on the amount and weight of garbage in the bin would be recorded to the customer. Since internet technology has been upgraded in Malaysia, the ESP8266 Wi-Fi module is integrated to be able to send data via Wi-Fi. To make life simpler, any incoming device is now integrated with Wi-Fi for days. This allows users to track the device no matter where and at any time. In addition, the garbage bin is also fitted with an information transmission system via short messages (SMS). The relation between the bins with the Global Mobile Communications System has been changed to (GSM). If it is full of trash, the trash will give an audible signal and at the same time activate the Global Mobile Communications System (GSM) and send the information to the cleaning management via short message (SMS). In this system, the Arduino uno is used as a microcontroller to power the system. If the garbage level exceeds the limit, the employee of the company may take more action to clear the bin. To conclude, in addition to using IoT technology, this garbage monitoring system would be able to keep the city safe and free of emissions
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Wi- Fi, Gsm, Device, Garbage, Sms, Users, Communications, Via, Monitoring, Messages |
Divisions: | Library > Final Year Project > FTKEE |
Depositing User: | Norfaradilla Idayu Ab. Ghafar |
Date Deposited: | 30 Sep 2022 03:37 |
Last Modified: | 30 Sep 2022 03:37 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/26953 |
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