Enhancing Fire Safety with UAV Real-Time 3D Mapping and Hotspot Detection for Improved Emergency Response
The integration of Unmanned Aerial Vehicles (UAVs) into existing cloud-based fire safety systems provides a transformative approach to fire detection, monitoring, and emergency response. This paper proposes an extension of the existing ALIKE system to incorporate UAV-based 3D mapping and hotspot detection capabilities. The enhanced system aims to provide real-time situational awareness, reduce response times, and improve the safety and effectiveness of firefighting operations. The implementation of UAV technology, combined with cloud computing and AI, represents a significant advancement in fire safety management. Utilizing UAVs in fire safety offers benefits such as high-resolution aerial imagery, thermal imaging for precise hotspot detection, and the ability to access hazardous areas without endangering human lives. This integration facilitates continuous monitoring and data collection, enabling predictive analytics for fire spread and risk assessment. By leveraging the strengths of UAVs, cloud computing, and AI, the proposed system aims to enhance the overall resilience and responsiveness of fire safety operations.
Authors
- Swarnamouli Majumdar (ORCID: https://orcid.org/0000-0001-6443-4471)
- Sonny Kirkley
- Aamir Khan (ORCID: https://orcid.org/0000-0003-2352-5697)
- Mayur Srivastava
Institutions
- Indiana University Bloomington (US)
Publication Details
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1109/uemcon62879.2024.10754757
- Citations
- 2
- Primary Topic
- Fire Detection and Safety Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.73