Citation

Law, Chin Hean and Chung, Gwo Chin and Lee, It Ee and Chan, Kah Yoong and Tan, Soo Fun (2025) Real-Time Kitchen Centralized Monitoring and Control System using IoT Platform. In: 2025 Multimedia University Engineering Conference (MECON), 21-23 July 2025, Cyberjaya, Malaysia.

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Abstract

Conventional kitchen environments exhibit inefficiencies, as indicated by their high energy consumption, excessive energy waste, and inherent safety hazards. A primary challenge confronting traditional kitchens lies in their inability to actively monitor the condition of the kitchen space. This research endeavors to address these issues by leveraging low-cost sensor and actuator technologies, empowering kitchen users with centralized control for safety concerns, and reducing energy waste. Hence, a cost-effective Internet-of-Things (IoT)-based system for centralized kitchen monitoring and control was developed in this paper, complemented by the development of a user-friendly mobile application to elevate overall user experience. The system unit embedded in the kitchen facilitates monitoring and control in the physical environment, comprising two integral subsystems, namely the sensor system and the actuator system, which were used to detect kitchen conditions, such as human presence, humidity, temperature, liquid petroleum gas (LPG) concentration, smoke, and flame, as well as to optimize the usage of kitchen appliances. The mobile application serves as an interface for displaying sensor readings, receiving real-time notifications, and facilitating control over kitchen appliances. Various experiments and tests were conducted to validate the system’s performance under diverse conditions. The outcome of this research is to tackle the need to create a cost-effective solution for a kitchen that is easy to use and integrated with state-of-the-art technologies for smart homes.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Kitchen, Internet-of-Things, centralized, mobile application
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics > TK7871 Electronics--Materials
Divisions:	Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	19 Mar 2026 00:31
Last Modified:	19 Mar 2026 00:31
URII:	http://shdl.mmu.edu.my/id/eprint/15504

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