Fire Detection using Artificial Intelligence for Fire-Fighting Robots

Sreesruthi Ramasubramanian, Senthil Arumugam Muthukumaraswamy, A. Sasikala

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Fire-fighting robots are used in indoor environments to detect fires and extinguish them. Sensors such as flame sensors are currently used to detect fire in fire-fighting robots. The disadvantage of using sensors is that fire beyond a threshold distance cannot be detected. Using artificial intelligence techniques, fire can be detected in a wider range. Haar Cascade Classifier is a machine-learning algorithm that was initially used for object detection. The results obtained using Haar Cascade Classifier were not very accurate, especially when multiple fires had to be detected. Transfer learning from a pretrained YOLOv3 model was then used to train the model for fire detection to improve accuracy. The benefits and drawbacks of using deep learning for object detection over machine learning are highlighted. The algorithm used to obtain the target location the robot must move to use bounding box coordinates is also discussed in this paper.

Original languageEnglish
Title of host publication2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS)
PublisherIEEE
Pages180-185
Number of pages6
ISBN (Electronic)9781728148762
DOIs
Publication statusPublished - 19 Jun 2020
Event2020 International Conference on Intelligent Computing and Control Systems - Madurai, India
Duration: 13 May 202015 May 2020

Conference

Conference2020 International Conference on Intelligent Computing and Control Systems
Abbreviated titleICICCS 2020
CountryIndia
CityMadurai
Period13/05/2015/05/20

Keywords

  • Deep Learning
  • Fire detection
  • Location finding
  • Machine Learning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Management Science and Operations Research
  • Control and Optimization

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