A Review on MY-SR Next Generation Automated Gas Safety System Using IoT

Authors

  • Dr. Komala C R  Associate Professor, Department of Information Science and Engineering, HKBK College of Engineering Bengaluru, India
  • Yashashwini S  Student, Department of Information Science and Engineering, HKBK College of Engineering Bengaluru, India
  • Rashmi Nayak  Student, Department of Information Science and Engineering, HKBK College of Engineering Bengaluru, India
  • Sharanya S  Student, Department of Information Science and Engineering, HKBK College of Engineering Bengaluru, India
  • Megha P  Student, Department of Information Science and Engineering, HKBK College of Engineering Bengaluru, India
  • Prof. Priya J  Assistant Professor, Department of Information Science and Engineering, HKBK College of Engineering Bengaluru, India

DOI:

https://doi.org//10.32628/IJSRSET229214

Keywords:

Arduino Uno, CNN, Child lock system

Abstract

Smart embedded systems have become a core component in the latest technologies, and IoT based smart embedded system is the trendiest field in the research area. In our research, we are proposing an IoT based smart stove. Any accident might occur at any time from a stove. So, we are designing a two-way safety enabled stove with a child lock system and gas leakage detection feature open the door or window. The intelligent stove will try to ensure safety and will detect age from real-time video streaming. Our main focus is a child would not be able to turn the stove on. As well as, the stove can entitle safety via gas detection alarm. Automatic gas booking system once read the load cell has less value. We are using a Arduino Uno and Gas Detection Module with a buzzer for the hardware implementation. Also, we are applying a Machine Learning object detection algorithm (Haar Cascade) and a deep learning architecture (CNN) for the system execution. Since our stove is IoT-based, the stove is ensuring safety remotely as well as manually which will try to prevent accidental occurrences.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2022-03-30

Issue

Volume 9, Issue 2, March-April-2022

Section

Research Articles

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How to Cite

[1]
Dr. Komala C R, Yashashwini S, Rashmi Nayak, Sharanya S, Megha P, Prof. Priya J, " A Review on MY-SR Next Generation Automated Gas Safety System Using IoT, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 2, pp.108-113, March-April-2022. Available at doi : https://doi.org/10.32628/IJSRSET229214