Orca

Subsurface Anomaly Detection Technology

  1.   SCALING - OrcaAI can detect, identify and track surface and subsurface anomalies (subs) from a single 3 meter satellite image of the ocean surface.  
  2. PERFORMANCE - OrcaAI uses an advanced neural network to quickly identify subsurface objects (subs)to a depth of 200 ft.
  3.  INTEGRATION - OrcaAI seamlessly integrates into existing surface or subsurface detection systems. OrcaAI requires two desktop computers to operate in realtime.




Ready
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Setup ORCA partameters






SET
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Setup advanced parameters




Go
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Fast Sub Detection and Identification
 




US Navy Test Sequence #1-3
60 miles off coast of Virginia

Surface Only

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OrcaAI detected target surface ship.

Test: Passed
False Positives: None

Note: Image resolution and image quality intentionally degraded for protection of US GOV assets.




US Navy Test Sequence #4-5
60 miles off coast of Virginia


Submerged Submarine
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OrcaAI detected submerged submarine, 520 feet long, 102 feet submerged from single 3 meter satellite image which covered 40 square miles of ocean. Ocean waves were 1- 3 feet at the time of image.

Test: Passed
False Positives: None

Note: Image resolution and image quality intentionally degraded for protection of US GOV asset.

US Navy Test Sequence #6-8
72 miles off coast of Saudi Arabia in Red Sea

Submerged Submarine

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OrcaAI detected submerged submarine, 540 feet long, 85-120 feet submerged from single 3 meter satellite image which covered 90 square miles of ocean. Ocean waves were 2- 5 feet at the time of image.

Test: Passed
False Positives: None

Note: Image resolution and image quality intentionally degraded for protection of US GOV asset.


Test Sequence #121
South China Sea
Detect Submarine Submerged
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OrcaAI was able to detect and identify 2 submerged submarines in South China Sea, 498, 540 feet long respectively at unknown depth from a single 3 meter resolution satellite image of ocean surface which covered 130 square miles of ocean. Ocean waves were at 3-5 feet. 

Contact:  info@3netlabs.com

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