A Smart Gas Stove with Gas Leakage Detection and Multistage Prevention System Using IoT

Authors

  • Ananya Chandran Assistant Professor, Department of Computer Science and Engineering, Brindavan College of Engineering, Bengaluru, India
  • S. Kavitha Assistant Professor, Department of Information Science and Engineering, Brindavan College of Engineering, Bengaluru, India

Keywords:

Age detection, Buzzer, Child lock system, Embedded system, IoT, Raspberry Pi, Machine Learning, Smart embedded system

Abstract

Today's technologies rely heavily on smart embedded systems, and IoT-based smart embedded systems are the hottest area of study. In our study, we suggest an Internet of Things-powered smart stove. Any moment, a stove mishap could occur. We are creating a two-way safety stove with a child lock mechanism and a gas leak detecting feature as a result. Through real-time video streaming, the smart stove will make an effort to assure safety and will determine age. Our primary worry is that a kid wouldn't know how to start the stove. Additionally, the stove has a gas detection alert that can give safety. We're using a Raspberry Pi and a gas detection module with a buzzer as our hardware. Additionally, we employ a deep learning architecture and a machine learning object detection method (Haar Cascade) for system execution (CNN). Our IoT-based stove provides safety both manually and remotely in an effort to stop unintended occurrences.

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Published

25-09-2022

Issue

Section

Articles

How to Cite

[1]
A. Chandran and S. Kavitha, “A Smart Gas Stove with Gas Leakage Detection and Multistage Prevention System Using IoT”, IJMDES, vol. 1, no. 9, pp. 5–9, Sep. 2022, Accessed: Dec. 09, 2024. [Online]. Available: https://journal.ijmdes.com/ijmdes/article/view/79