AI -Driven Fire Responses-Enhancing Rescue Efficiency through Machine Learning
DOI:
https://doi.org/10.32628/CSEIT251149Keywords:
HAAR cascade classifiers, peril, chime, frontiers, attainedAbstract
Fires spreading increasingly around the world due to increasing global warming, it has become imperative to develop an intelligent system that detects fires early, using modern technology. Therefore, we used one of the artificial intelligence techniques, which is machine learning, which is one of the popular methods now. Professionals have done a lot of research, experiments, and coding software to detect fires using machine learning. Image processing is a type of processing in which the input image is transformed into another image as output with certain techniques applied to it. In this concept, we will create a fire detecting device using an usb or system camera and an application and apply the concepts of IoT and Image Processing to get real time fire detection results.
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PETKOVIC, M., GARVANOV, I., KNEZEVIC, D., & ALEKSIC, S. (2020). Optimization of Geographic Information Systems for Forest Fire Risk Assessment. 2020 21st International Symposium on Electrical Apparatus & Technologies (SIELA).
Yen Feng, LuoNingzhao, Wu Benxiang (2019) Design and Experimental research video detection system for ship fire, 2019 2nd International Conference on Safety Produce Information
Xu, X., Wang, P., Yu, N., & Zhu, H. (2019). Experimental Study on Kitchen Fire Accidents in Different Scenarios *. 2019 9th International Conference on Fire Science and Fire Protection Engineering (ICFSFPE).
Chen, K., Cheng, Y., Bai, H., Mou, C., & Zhang, Y. (2019). Research on Image Fire Detection Based on Support Vector Machine. 2019 9th International Conference on Fire Science and Fire Protection Engineering (ICFSFPE).
Pritam, D., &Dewan, J. H. (2017). Detection of fire using image processing techniques with LUV color space. 2017 2nd International Conference for Convergence in Technology (I2CT).
Feng, J., Feng, Y., Ningzhao, L., &Benxiang, W. (2019). Design and experimental research of video detection system for ship fire. 2019 2nd International Conference on Safety Produce Informatization (IICSPI).
Dang-Ngoc, H., & Nguyen-Trung, H. (2019). Aerial Forest Fire Surveillance - Evaluation of Forest Fire Detection Model using Aerial Videos. 2019 International Conference on Advanced Technologies for Communications (ATC).
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