Fire Fighting Robot Using Machine Learning
Madhuri Narayan Pawar
, Dr. Devidas D. Dighe
Firefighting Robot, Raspberry Pi, Image Processing, Tensorflow, Machine Learning
Here a Raspberry pi based robot will detect fire in the real-time video feed obtained from the camera. A robot runs on DC motors and is powered through a battery bank that will spray water in the direction of fire. On detection of fire, the robot will automatically turn on pumps to extinguish the fire and also provide buzer alert to provide a signal to the surrounding area. The robot automatically moves forward while checking for fire and as fire extinguishers. To detect the fire from images, a machine learning algorithm will be used and designed with the OpenCV tool. Raspberry pi board is at the center of this project. Since Raspberry Pi doesn’t have an inbuilt power supply, it needs an external power adapter. Here, for capturing images, a camera module is needed. Whereas the DC pump is used to pump the water and motors are used to drive the robot. Since Raspberry pi doesn’t provide sufficient power to drive motors and pumps. A separate motor driver is needed
"Fire Fighting Robot Using Machine Learning", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 5, page no.267 - 273, May-2024, Available :https://ijsdr.org/papers/IJSDR2405034.pdf
Volume 9
Issue 5,
May-2024
Pages : 267 - 273
Paper Reg. ID: IJSDR_211282
Published Paper Id: IJSDR2405034
Downloads: 000347414
Research Area: Electronics & Communication Engg.
Country: Nashik, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
