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Truck Detection
Orbital Insight’s truck detection algorithm uses wide area object detection in Pleiades imagery to accurately identify and quantify trucks. This saves analysts significant amounts of time in conducting pattern of life analyses and activity based intelligence.
Description
Orbital Insight’s truck detection algorithm uses wide area object detection in Pleiades imagery to accurately identify and quantify trucks. This saves analysts significant amounts of time in conducting pattern of life analyses and activity based intelligence.
Technical Description
Orbital Insight’s Truck Detector operates on high resolution imagery from Pléiades Streaming (One Atlas) with Raster Tiling (UP42) and produces point detections corresponding to the location of trucks within a specified input image (GeoTIFF).
Use Cases
Counting trucks across a wide area at scale allows geospatial analysts to monitor activity-based intelligence, observing emerging trends including baseline and anomalous economic and geopolitical activity levels.
Supported workflows
Data platform:
- Catalog -> Pléiades Display -> Order and get the asset from storage of UP42
- In Projects workflows, Processing from Storage -> DIMAP GeoTIFF conversion -> Raster CRS Conversion (CRS: EPSG:3857) -> Raster Tiling -> Truck Detection
Data blocks:
- Pléiades Display (Streaming) -> Raster Tiling -> Truck Detection
Note: Pléiades Analytic with Pan-Sharpening (UP42) is currently not supported.
| General Information | Description |
|---|---|
| Block Type | Processing for Pléiades Truck Detection |
| Supported input data | Pléiades Tile (1232x1232px) |
| Output data format | GeoJSON |
| Performance | Algorithm qualified on a large set of data encompassing different types of landscapes worldwide by a third party, with a good level of performances. The algorithm performance will vary according to geography and imagery features. |
| Training Data Details | This algorithm was tested by a 3rd party using a validation set, consisting of approximately 5,000 marked trucks in 50 countries spanning 6 continents. The training set contains 50,000 images and spans many variable conditions including time of day, time of year, terrain, configuration of vehicles, etc. |
Capabilities
Terms & conditions
View the End User License Agreement conditions.