The algorithm uses object detection in Pléiades display imagery to detect and quanitfy trucks. The result is a GeoJSON file with points drawn on detected trucks.
Truck detection can be used for supply chain and logistics management, traffic management, and urban planning.
See more on the marketplace.
The algorithm has been developed using 50,000 images in 50 countries spanning 6 continents.
Scenarios represented in the training data:
- Different times of day
- Different times of year
- Different terrains
- Different object configurations
The STAC item should be a Pléiades image of the display radiometric processing level.
The STAC item should be CNAM-compatible. Check that the STAC item has been added to storage in 2023 or later.
Required parameters
Input imagery
You need to specify the STAC items you want to apply the process to.
Output title
You need to specify the title of the output objects. This title will be assigned to the resulting STAC item and STAC collection.
A sample input payload for the process
JSON
{
"inputs":{
"title": "Truck detection at Polish border crossing",
"item": "https://api.up42.com/v2/assets/stac/collections/21c0b14e-3434-4675-98d1-f225507ded99/items/23e4567-e89b-12d3-a456-426614174000"
}
}
| Parameter | Overview |
|---|---|
inputs.title | object / required The title of the output objects: STAC item and STAC collection. |
inputs.item | object / required The STAC item link in the following format: https://api.up42.com/v2/assets/stac/collections/{collection-id}/items/{item-id} |