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.
An input Pléiades image of the Port of Calais (France)
Detected truck points drawn on the input image
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 data item must be a supported data product:
- Pléiades catalog: Display
The data item must be CNAM-compatible. Check that the data item has been added to storage in 2023 or later.
You must specify the data items you want to apply the process to.
You must specify the title of the output data item.
Use the detection-trucks-oi name ID for the processing API.
{ "inputs": { "title": "Processing imagery over Berlin", "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 data item. |
inputs.item | object | required A link to the data item in the following format: |