Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/15298
Title: Umar, B. U., & Olaniyi, O. M. (2022). Recent advances in smart kitchen automation technologies: principles, approaches, and challenges. Journal of Engineering Sciences, (3), 150-165.
Authors: Umar, Buhari Ugbede
Olaniyi, Olayemi Mikail
Idris, A. Dauda
Danlami, Maliki
Cindy, P. Okoro
Keywords: Internet of things (IoT), smart kitchen, gas leakage, smoke, safety systems.
Issue Date: 2022
Publisher: Journal of Engineering Science
Citation: Umar, B. U., & Olaniyi, O. M. (2022). Recent advances in smart kitchen automation technologies: principles, approaches, and challenges. Journal of Engineering Sciences, (3), 150-165.
Abstract: The Internet of Things (IoT) is a growing network of physical devices that are connected to various types of sensors and can share data with the aid of internet connectivity. Safety is an important consideration when designing a house, town, smart kitchen, etc., and it continues to play an important role in today's world. In general, the kitchen is regarded as one of the most crucial tasks in our everyday lives, making it imperative to equip this vital element of human life with smart devices to avoid commonplace incidents such as gas leaks, intense particles in the environment, or fire outbursts. Gas leaks in the kitchen can be dangerous and deadly, resulting in fires if they go unchecked. For smart kitchens, various systems have been built to combat gas leaks and fire outbreaks. However, despite their high precision, these systems each have their own set of flaws that have severely restricted their implementations. The state-of-the-art in gas leakage, fire, and smoke detection in a smart kitchen is discussed in this paper. Different methods of gas leakage and fire detection are also addressed, along with their strengths and weaknesses, as well as products available in the market today.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/15298
ISSN: 2587-3474
2587-3482
Appears in Collections:Computer Engineering

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