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.
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 |
Payment | Subscription method | Attached file upon application |
---|---|---|
Prepaid charge | Online | - |
Application procedure |
---|
|
Category | Pricing |
---|---|
API Setting | $1,800 ~ |
API Predicting | $0.02 / Image |