Counter Measures for Early Detection of Fire within the Forest using Hexagonal Based Neural Network Approach
Author(s):
Harpreet Kaur, Suraj pal
Keywords:
IoT, Sensors, Disaster, Fault tolerance, fire alarm system
Abstract
IoT provides mechanism to integrate various diverse components (Sensors) to work in synchronized way. A system of smart interconnected components can be used to monitor the abnormal situation where existing resources or infrastructure fails. This paper is intended to study to study the techniques and framework used to analyses the disasters such as floods, fire, earth quakes etc. the prime objective of this study is to examine the techniques associated with fire detection in considerably larger premises like forest. Fire detection system along with heat sensors are employed in this case. This work provides the neural network based approach for the early detection of fire within the forest. It also provides comparative analysis of each technique to determine better approach that can be enhanced on the parameters of energy conservation and fault tolerance in future work.
Article Details
Unique Paper ID: 153064
Publication Volume & Issue: Volume 8, Issue 5
Page(s): 450 - 457
Article Preview & Download
Share This Article
Conference Alert
NCSST-2021
AICTE Sponsored National Conference on Smart Systems and Technologies
Last Date: 25th November 2021
SWEC- Management
LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT