Suggesting Exit Path in a Multi-Path in Case of an Emergency
Publication Name
Proceedings of the 18th INDIAcom; 2024 11th International Conference on Computing for Sustainable Global Development, INDIACom 2024
Abstract
This study proposes an innovative approach to address the challenges of navigating multi-exit scenarios during emergencies by utilizing the VGG19 model and incorporating voice guidance. A crucial component of this research is the extensive CubiCasa5K dataset, comprising 5,000-floor plans with detailed annotations, including exit paths and structural information from diverse indoor environments. These floor plans serve as a valuable resource for generating synthetic images of exit paths within various buildings. The synthetic images undergo pre-processing and are inputted into the VGG19 model for feature extraction and exit path classification. To enhance user experience, a text-to-speech synthesis system is integrated, generating a tailored voice message offering clear and concise instructions based on the VGG19's classification of the exit path. The solution achieves an impressive accuracy of 94.96%, promising to significantly improve individual safety by providing accurate and timely guidance in complex emergency situations.
Open Access Status
This publication is not available as open access
First Page
1554
Last Page
1560