Securing maritime zones
with SAR imagery
and AIS vessel data
Detect rogue vessels with missing or false AIS data in near real-time
Control maritime activity
by tracking ships
By leveraging the power of a state-of-the-art artificial intelligence (AI) model to detect ships in satellite imagery, we cross-reference this factual information in near real-time with reported vessel and voyage data from AIS transceivers, allowing the detection of anomalies such as dark vessels.
SAR satellite data
By utilizing synthetic-aperture radar (SAR) satellite data from ICEYE, continuous around-the-clock observation is possible of maritime zones unhindered by weather conditions. The world's largest SAR satellite constellation allows sub-daily revisits of the same location and is especially suited to detect vessels on the open sea.
Vessel detection using AI
By employing an artificial intelligence model for object detection, individual vessels in satellite imagery can be identified as soon as the data is available. Thus, factual information of ship locations, georeferenced to their exact longitude and latitude, over a vast maritime area can be obtained.
AIS data collection
Collection of static and voyage related data allows tracking vessels in real-time, including its GPS position, speed, course over ground, name, destination, country of origin, cargo, etc. Real-time world coverage is achieved by recording AIS data from base stations on land and from satellites.
Cross-referencing data and anomaly detection
By comparing factual data obtained from SAR satellite images with information emitted from AIS transceivers, data anomalies are detected which allow the identification of vessels that present anomalous behaviour and eases the task of law enforcement on the open sea. For example, the lack of AIS data for a vessel may indicate an attempt to hide illegal activity, such as fishing in territorial waters.