“Design and Development of an Embedded Fire Detection and Suppression Robot”
HOD Mrs.Uma Patel
Department computer Science and Engineering Jhulelal Institute of technology
Nagpur, India
Hiteshri Parate
Department Computer Science and Engineering
Jhulelal Institute of Technology
Nagpur, India paratehiteshri@gmail.com
Tanisha Sahare
Department Computer Science and Engineering
Jhulelal Institute of Technology
Nagpur, India
saharetanisha@gmail.com
Saloni Deorankar
Department Computer Science and Engineering
Jhulelal Institute of technology
Nagpur, India
deorankarsaloni@gmail.com
Tina Brijwani
Department Computer Science and Engineering
Jhulelal Institute of Technology
Nagpur,India
tinabrijwani206@gmail.com
Vasundhara Shivhare
Department Computer Science and Engineering
Jhulelal Institute of Technology
Nagpur, India
shivharevasundhara@gmail.com
Abstract-Fire accidents are a significant risk to life, property, and the environment, and require quick detection and prompt suppression to reduce damage. The project describes the development and design of an embedded fire detection and suppression robot that can automatically detect and put out fire sources in dangerous conditions. The system has temperature and flame sensors for effective fire detection, and a control unit based on a microcontroller to make decisions and navigate. The robot includes an obstacle avoidance mobility platform and an active response fire suppression system, for example, a water pump or CO₂-based extinguisher. Wireless communication is used to facilitate remote monitoring and manual override when needed. The embedded design guarantees real-time processing, low power usage, and consistent performance. Experimental testing shows the robot's high sensitivity to detect fire, move towards the source, and successfully put out flames in a controlled setting. This project illustrates the possibilities of intelligent embedded systems in improving safety, lowering human risk, and providing cost-saving solutions for fire management within residential, industrial, and public environments.
Keywords-Embedded System, Fire Detection, Fire Suppression, Autonomous Robot, Microcontroller, Safety System.