Zamli, Nurnazirah (2024) Development of smart fire detection system for household kitchen. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)
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Abstract
An important development in home safety technology is the home safety technology is the smart fire detection system for home kitchen which makes use of MQ-2 and DHT11 sensors combined with an Internet of Things (IoT) architecture. Using an intuitive mobile application, this project seeks to improve the accuracy and response times of fire detection while offering real-time monitoring and notifications. While the DHT11 sensor keeps an eye on humidity and temperature, the MQ-2 sensor detects a variety of gases, including smoke. For seamless IoT connectivity, the system is based on an Arduino ATmega2560 microcontroller equipped with Wi- Fi ESP8266. The device instantly notifies the user through the Blynk app on their smartphone when it detects abnormal levels of smoke or temperature allowing for quick response. Furthermore, the extensive testing in a standard residential kitchen setting proved the system’s dependability and efficiency in identifying fires. Opensource technologies and reasonably priced sensors work together to make this system feasible and approachable for broad use. In addition to addressing the shortcomings of conventional fire detection techniques, this project makes advantage of Internet of Things capabilities to improve user awareness and safety in residential settings. According to the findings, installing a smart fire detection system can increase kitchen safety and perhaps save lives at a reasonable cost.
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | MQ-2, DHT11, Arduino ATmega 2560 microcontroller equipped with Wi-Fi ESP8266, Blynk app |
Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Library > Final Year Project > FTKE |
Depositing User: | Norfaradilla Idayu Ab. Ghafar |
Date Deposited: | 23 May 2025 08:35 |
Last Modified: | 23 May 2025 08:35 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/35736 |
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