White Knight Messenger

October 2017
Vol-3, Issue-5
Paper ID: 6829
ISSN: 2395-4396
Downloads: 70
Download PDF

Abstract & Details

Research Area
Computer Science and Engineering
Keywords
GSM Module MQ5 Arduino LPG Work flow diagrams.
Abstract
The project involves both Software and Hardware fields. It mainly focuses on creating an accident free home by giving alerts to the people who live in the house about any of the hazards that is about to take place through sensor detection, so that proper precautions could be taken in immediately to prevent loss. Sensors used to detect LPG Gas leak. Communication between these sensors and the user through internet and a hand device (A message to the user). This project is about producing an alert warning system based on Global System for Mobile (GSM) network. It will be used to detect the presence of natural gases. Whenever gas leakage occurs, the sensors used in the circuit will detect it and the GSM modem will send out an SMS alert to the user. With the system that provides a real-time notification, it increases the response time of the owner. This will provide the immediate aid to the situation occur. This system can be installed in kitchens, Liquefied Petroleum Gas (LPG) storage rooms. The combination of gas sensors and gsm module can make a valuable contribution to the safety of these processes. The detectors can be used to trigger alarms if a specified concentration of the gas is exceeded. This can provide an early warning of a problem and help to ensure people’s safety. However, a detector does not prevent leaks occurring or indicate what action should be taken. It is not a substitute for safe working practices and maintenance. It mainly focuses on creating an accident free home by giving alerts to the people who live in the house about any of the hazards that is about to take place through sensor detection, so that proper precaution could be taken in immediate effect to prevent loss.

Author Information

# Name Institute / Affiliation
1 Kiran Venkatachalam SRM University, Ramapuram, Chennai
2 Alex Pavithran KP SRM University, Ramapuram, Chennai
3 Vignesh Babu.M.R SRM University, Ramapuram, Chennai
4 Aravind Sriram SRM University, Ramapuram, Chennai

How to Cite

Use the following formats to cite this article in your research.

APA Style
Venkatachalam, Kiran, KP, Alex Pavithran, Babu.M.R, Vignesh, & Sriram, Aravind (2017). White Knight Messenger. International Journal of Advance Research and Innovative Ideas In Education, 3(5), 1497-1503.
MLA Style
Venkatachalam, Kiran, et al. "White Knight Messenger." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 5, 2017, pp. 1497-1503.
IEEE Style
Kiran Venkatachalam, Alex Pavithran KP, Vignesh Babu.M.R, and Aravind Sriram, "White Knight Messenger," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 5, pp. 1497-1503, 2017.
Vancouver Style
Venkatachalam Kiran, KP Alex Pavithran, Babu.M.R Vignesh, Sriram Aravind. White Knight Messenger. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(5):1497-1503.
Harvard Style
Venkatachalam, Kiran, KP, Alex Pavithran, Babu.M.R, Vignesh, & Sriram, Aravind (2017) 'White Knight Messenger', International Journal of Advance Research and Innovative Ideas In Education, 3(5), pp. 1497-1503.
Chicago Style
Venkatachalam, Kiran, et al. "White Knight Messenger." International Journal of Advance Research and Innovative Ideas In Education 3, no. 5 (2017): 1497-1503.
Turabian Style
Venkatachalam, Kiran, et al. "White Knight Messenger." International Journal of Advance Research and Innovative Ideas In Education 3, no. 5 (2017): 1497-1503.

Export Citation

Related Research

PReFace : AI -Assisted Plausible Facial Restoration and Damage Reconstruction System
Syeda Arbeena Kausar et al. 2026 Computer Science and Engineering (Computer Vision, Deep Learning and Image Processing)
Download PDF
Automated web vulnerability scanner
Jitendra Sahu et al. 2026 Computer science
Download PDF
BLOOD BANK DEMAND PREDICTION SYSTEM: MACHINE LEARNINGBASED BLOOD DEMAND FORECASTING
Uday Dharmapal Wankhede et al. 2026 Computer Science & Engineering
Download PDF