Abstract
These days, maintaining a clean environment can be attribute to rubbish management is one of the main problems in most cities especially in the areas of factories and hospitals that dispose of chemicals. This area is very unsanitary and may contain many viruses. Dustbin is one of the items that might induce contact and therefore be one of the sources of the spread of this infection. Many places have their own dustbin, however these are not sanitized on a regular basis. If one of the virus-infected visitors touches the dustbin, the infection can spread quickly. It can have numerous negative consequences, such as poor odour, and it can also be the root cause of disease propagation. To avoid any harmful scenarios and keep the environment clean, this project is developing an Intelligent Disposal Monitoring System with A Chemical Detector. Therefore, a modern dustbin is needed to replace old inconvenience dustbin. This project worked on the IoT based automatic dustbin lid by using Arduino IDE, Proteus and Blynk platform. This project is using Infrared sensor to detect the level of garbage filled in the dustbin. Ultrasonic sensor uses to sense movement to make the lid open without any contact. Once the garbage filled in the dustbin, LED will display “The garbage is full” and LED light up. ESP32 also send notifications to the workers to give alert that the dustbin is full. Others, if someone put rubbish containing chemical. The lid will not open, and buzzer will sound to alert people surrounding. Surely, through this prototype, users may dispose of trash without encountering any viruses that may infect them
Metadata
Item Type: | Student Project |
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Creators: | Creators Email / ID Num. Sulaiman, Nor Haizan Amer Fitri UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. Advisor Mohd Nordin, Atiqah Hamizah 314466 |
Subjects: | A General Works > Indexes (General) |
Divisions: | Universiti Teknologi MARA, Johor > Pasir Gudang Campus > College of Engineering |
Programme: | Diploma of Electrical Engineering |
Date: | 2024 |
URI: | https://ir.uitm.edu.my/id/eprint/101302 |
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