Programs
- M. Tech. in Automotive Engineering -
- Clinical Fellowship in Laboratory Genetics & Genomics - Fellowship
Publication Type : Conference Paper
Publisher : IEEE
Source : 7th International Conference on Intelligent Computing and Control Systems (ICICCS),IEEE,2023,1617-1621
Url : https://ieeexplore.ieee.org/document/10142854
Campus : Chennai
School : School of Engineering
Department : Computer Science and Engineering
Year : 2023
Abstract : Fire alarms and monitoring systems presented by the Internet of Things (IoT) are ideal for commercial and residential applications. Fire is the main factor in incidents that result in significant loss of life and property. The ESP8266 Wi-Fi module and the internet of things (IoT) make monitoring and controlling fire occurrences simple and dependable. The present research looks at the current systems for fire detection and prevention. Designing and creating a splitting protection warning system for fire detection and prevention in industries using reducing technologies like the internet of things. This proposed system integrates the Internet of Things (IoT) with fire detection and tracking systems. It can detect gas, temperature, flame, etc., and send that information to an ESP8266 Wi-Fi module, providing prevention guidelines for employees or end users. In the design prototype, sensors are positioned in three places to pinpoint any fire threats’ precise location. The Arduino UNO controller coupled to all of these sensors continuously receives input from them. The Arduino UNO controller constantly processes these data.
Cite this Research Publication : Kumaratharan, N; Lenin, J; Prasad, B; Umamageswaran, J; , “Industries Fire Accident Tracking System based on Internet of Things using Arduino UNO,” 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS),IEEE,2023,1617-162