Rule Based Method to Detect Fire and Compare the Accuracy and Precision with Vibe Method

Abstract

The purpose of this article is to compare a novel rule-based technique for detecting fire to the vibe method. This method is based on image processing and computational techniques that simplify the computational process. This procedure was carried out on a sample size of twenty. The same samples were used for both the control and experimental groups, with a G power of 80%. The proposed strategy resulted in increased detection accuracy. Accuracy and precision for the rule-based technique were determined to be 99.19 and 70.62, respectively. For conventional approaches, accuracy and precision values of 86.24 and 60.19 were obtained. Additionally, it indicates a significance of 0.000 for precision and 0.015 for accuracy, both of which are less than 0.05. It may be stated that when compared to the vibe approach, the rule-based method produces greater accuracy and precision. It is useful for lexical and data mining analysis.