Wildfire Monitoring
Quick StartCustom AI
In the event of a large forest fire, it takes at least several decades for the forest to recover. In particular, if wildfires cannot be extinguished in the early stage, they will spread out of control through strong winds, requiring rapid situation analysis and suppression.
You can build a real-time forest fire monitoring system using an artificial intelligence model by training a dataset labeled smoke from forest fire smoke from image data collected in various forest fire situations.
Main function
1. Wildfire Monitoring
- Real-time forest fire monitoring
- Situation analysis and detection prediction
- Early suppression through early detection
- Quickly identify the time and place of occurrence upon post-check
2. Data Security System
- Thorough data security through security processing
3. Providing various services
- Interlocking between apps, web and programs is possible by providing various programming languages
API Summary
| Data | Data type | Content | Use mode |
|---|---|---|---|
| Input data | Zip, JPG, PNG, MP4, etc. | Image and video data | API |
| Output data | JSON, PNG, JPG, etc. | Wildfire location information (Coordinates, labeling image) |
API |
Application procedure
| Payment | Subscription method | Attached file upon application |
|---|---|---|
| Prepaid charge | Online | - |
| Application procedure |
|---|
|