Abstract: This research presents an innovative approach to accident classification within tunnels using deep learning algorithms. Given the unique challenges posed by tunnel environments, such as limited visibility and confined spaces, effective accident detection is paramount for ensuring swift response and safety. Utilizing a dataset comprising various tunnel accidents, we trained and evaluated multiple deep learning models. Our results show a significant improvement in classification accuracy compared to traditional methods.

Keywords: Collection Of Unexpected Accidents, Detection Of Unexpected Events, Tunnel Cctv Accident Detection System, Deep Learning

Cite:
N. Bhagya Lakshmi, D. Yeswitha Chowdary, A. Hanisha, K.Vishnu Supriya,"Collection Of Unexpected Accidents Under Bad Cctv Monitoring Conditions In Tunnels Using DL ", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 11, no. 3, 2024, Crossref https://doi.org/10.17148/IARJSET.2024.11319.

| DOI: 10.17148/IARJSET.2024.11319