RescueSight utilizes autonomous drone technology and multimodal AI analysis to provide first responders with real-time situational awareness during large-scale disasters. By consolidating aerial imagery and citizen data into a centralized dashboard, the platform addresses the lack of coordinated information that hampers effective emergency response efforts.
Funding
Funding not disclosed
Founders
Product
Problem
During large-scale disasters, first responders often lack a single, coordinated source of real-time information, hindering effective collaboration and response efforts. The absence of readily available data impedes situational awareness, leading to inefficiencies and potentially increasing risks.
Solution
RescueSight offers an all-in-one dashboard that transforms chaotic disaster scenes into organized, actionable data for emergency first responders. The platform utilizes autonomous drone technology to capture aerial imagery of affected areas, while also web-scraping for relevant citizen data. This information is then cross-referenced with municipal databases and analyzed using multimodal AI, providing a comprehensive view of the disaster zone. The consolidated data is displayed on a centralized dashboard, enabling response teams to gain increased situational awareness and make informed decisions at a granular level.
Target Audience
The primary users are emergency first responders, public safety workers, and disaster relief teams who require real-time situational awareness during large-scale disasters.
Features
- Autonomous drone deployment for just-in-time aerial imagery collection
- Web scraping of citizen data to supplement aerial views
- Cross-referencing of data with municipal databases for comprehensive insights
- Multimodal AI analysis of collected data to identify critical information
- Interactive 3D model generation of disaster sites from drone imagery
- Centralized dashboard displaying summarized and actionable information
- Computer vision for automated damage assessment and object detection