FireSafe
AI Enabled Wildfire Analytics and Surveillence
Listed in categories:
DronesClimate TechArtificial Intelligence
Description
FireSafe is a next-generation wildfire detection system that utilizes static cameras and drones for real-time monitoring and detection. The system aims to improve response rates, reduce fire risks, and enhance safety measures.
How to use FireSafe?
To use FireSafe, deploy static cameras and drones in fire-prone areas for real-time monitoring. Utilize the mobile application for receiving alerts and updates on fire incidents. Analyze data from surveillance cameras and drone imagery using trained ML models for accurate detection. Assess fire risk factors and take preventive measures based on recommendations provided by the system.
Core features of FireSafe:
1️⃣
Improve Response Rate
2️⃣
Real-time Detection Using Trained ML Models
3️⃣
Static Cameras And Drone Solution
4️⃣
Mobile Application
5️⃣
Reduce And Determine Fire Risk
Why could be used FireSafe?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Enhancing response rates during wildfire outbreaks | ✅ | |
| # 2 | Real-time detection of potential fire incidents | ✅ | |
| # 3 | Reducing and determining fire risk in specific areas | ✅ | |
Who developed FireSafe?
Nu Terra Labs is dedicated to developing innovative solutions for wildfire detection and management. With a focus on leveraging advanced technology and machine learning algorithms, the team at Nu Terra Labs aims to enhance safety measures and reduce the impact of wildfires on communities and the environment.