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Space-Based AI Successfully Tracks Ships During In-Orbit Maritime Detection Test

Space-Based AI Successfully Tracks Ships During In-Orbit Maritime Detection Test
Space-Based AI Successfully Tracks Ships During In-Orbit Maritime Detection Test
AIRIS
Image for representation purposes only

Mitsubishi Heavy Industries, Ltd. (MHI) has successfully conducted an in-orbit demonstration using its onboard AI-based object detector “AIRIS”, which leverages a next-generation space-grade MPU.

AIRIS, composed of an AI-equipped data processor and an earth observation camera developed by the Tokyo University of Science, detected ships from maritime imagery.

AIRIS operates AI on board the satellite using the next-generation space-grade MPU “SOISOC4,” developed jointly by the Japan Aerospace Exploration Agency (JAXA) and MHI, to detect objects from satellite images.

As part of JAXA’s “Innovative Satellite Technology Demonstration Program,” AIRIS was launched aboard the small demonstration satellite “RAISE-4” on December 14, 2025, and has since been advancing its technology demonstration in orbit.

Ship Detection by AIRIS
Image Credits: MHI

Going forward, MHI plans to establish a continuous cycle to improve AI performance by retraining the AI on the ground using images of ships obtained during operations and updating the AI onboard AIRIS in orbit.

In addition to the AI operation demonstration, the in-orbit demonstration of AIRIS aboard “Innovative Satellite Technology Demonstration-4” also includes an in-orbit demonstration of the SOISOC4 MPU.

Through the development of these devices, MHI will continue striving for technological innovation in cutting-edge space equipment development and contribute to the advancement of Japan’s space development and utilization.

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Tagged with

#satellite remote sensing
#ocean data
#data visualization
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#data processor
#earth observation camera
#in-orbit demonstration
#object detection
#satellite images
#AI performance
#maritime imagery
#next-generation MPU
#Japan Aerospace Exploration Agency
#JAXA