Nor Ashikin, Filza Athirah (2024) Smart forest fire detection. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)
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Abstract
The Smart Forest Fire Detection system is designed to provide early warning of potential forest fires by detecting smoke and flames in real-time. Utilizing an ESP32 microcontroller, the system integrates flame and smoke sensors to monitor environmental conditions. Upon detecting abnormal levels of smoke or the presence of flames, the system triggers alerts via a connected mobile application using the Blynk platform. The hardware setup includes an LCD display, LEDs, and a buzzer, which provide visual and auditory warnings locally. Users can monitor the system remotely, receiving notifications that enable prompt action to prevent or mitigate forest fires. This project aims to enhance forest fire detection efficiency by providing timely and accurate information, contributing to the preservation of natural resources and safety.
| Item Type: | Final Year Project (Project Report) |
|---|---|
| Uncontrolled Keywords: | Fire, Flame, Smoke, Blynk, Detection |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Library > Final Year Project > FTMK |
| Depositing User: | Sabariah Ismail |
| Date Deposited: | 30 Dec 2024 00:56 |
| Last Modified: | 30 Dec 2024 00:56 |
| URI: | http://digitalcollection.utem.edu.my/id/eprint/34413 |
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