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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:

Data blocks:

Note: Pléiades Analytic with Pan-Sharpening (UP42) is currently not supported.

General InformationDescription
Block TypeProcessing for Pléiades Truck Detection
Supported input dataPléiades Tile (1232x1232px)
Output data formatGeoJSON
PerformanceAlgorithm 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 DetailsThis 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

To know more please check the block capabilities specifications.

Terms & conditions

View the End User License Agreement conditions.

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