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.
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).
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.
Note: This block can be used with Pléiades Streaming (OneAtlas) and Raster Tiling (UP42), Pléiades Download (OneAtlas) with Pan-Sharpening (UP42) is currently not supported.
|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.|
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