Human Detection Using Wireless Rescue Robot
Saranya J1, Sushma S. Jagtap2, Thamizhmalar D3, Thaslim Banu M4, Vimala Priyadharshini K P5, Yamini J6
1Saranya J, Department of ECE, Rajalakshmi Engineering College, Thandalam, Chennai (Tamil Nadu), India.
2Sushma S. Jagtap, Department of ECE, Rajalakshmi Engineering College, Thandalam, Chennai (Tamil Nadu), India.
3Thamizhmalar D, Department of ECE, Rajalakshmi Engineering College, Thandalam, Chennai (Tamil Nadu), India.
4Thaslim Banu M, Department of ECE, Rajalakshmi Engineering College, Thandalam, Chennai (Tamil Nadu), India.
5Vimala Priyadharshini K P, Department of ECE, Rajalakshmi Engineering College, Thandalam, Chennai (Tamil Nadu), India.
6Yamini J, Department of ECE, Rajalakshmi Engineering College, Thandalam, Chennai (Tamil Nadu), India.
Manuscript received on 22 May 2019 | Revised Manuscript received on 08 June 2019 | Manuscript Published on 15 June 2019 | PP: 331-334 | Volume-8 Issue-1S2 May 2019 | Retrieval Number: A00780581S219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Recently, all over the world, fire accidents is increasing at higher rates and it is high time to offer safety support system for the humans residing/working at various places such as hospitals, hotels, cinemas, high-rise buildings, department stores etc. This paper focuses on implementing wireless rescue robot for every humans moving in and around the globe. However the existing systems are not powerful enough to prevent the fire accidents since there is no automatic robot system to monitor humans. Nextly the existing prototype makes use of only a flame sensor that detects the light emitted by the flames at the place of fire accident and alerts the surrounding by using fire alarms which simply detects the place of fire and does not save the life of people who are under risk. Hence to overcome this issues our proposed system includes a raspberry PI which is the heart of the system and it is attached with the following components such as flame sensor for detecting flames, Open CV camera for capturing video during fire accidents, GSM module for intimating the location at which fire accident has taken place to the registered recipient, PIR sensor to monitor the movements of human and evaluate the same to check whether it is within sensor range or not , pump motor with relay to splash water upon sensing of fire by flame sensor and lastly robot chase which holds all the above mentioned modules and it will move with its motor driver. Finally, implementation results for the proposed system are provided in this paper.
Keywords: PIR Sensor, Raspberry PI, GSM, Flame Sensor, Robot Chase, Open CV.
Scope of the Article: Wireless Power Transmission