Windward unveils Remote Sensing Intelligence AI tool.
Windward unveils Remote Sensing Intelligence AI tool. Photo: Windward

Windward has rolled out Remote Sensing Intelligence (RSI), AI-driven tech that fuses satellite imagery, radio-frequency (RF) detection, and vessel-tracking analytics into a single maritime intelligence workflow.

A core feature is its ability to flag vessels that are not broadcasting Automatic Identification System (AIS) signals or maybe trying to hide their identity.

The tool cross-checks satellite hits with behavioral patterns, past routes, technical specs, ownership records, and fleet affiliations.

This lets operators quickly gauge whether a vessel’s reported position is credible, determine if it may be operating under a falsified identity, and identify activity that could signal sanctions evasion or other suspicious behavior.

“By pulling together dozens of satellites, we allow our customer to tap into our virtual constellation, allowing for the constant monitoring of the maritime domain,” said Ami Daniel, CEO and Co-Founder of Windward.

“This amalgamation of data sources provides unprecedented visibility into all maritime activities,” and “to leverage this wealth of images and data, organizations need context, accuracy, and the analytics to transform the images into insights and action,” added Daniel.

Windward uses AI to turn satellite images into maritime intelligence. Photo: Windward

Automating Multi-Sensor Processing

RSI automates tasks that traditionally require multiple tools.

It can plan sensor coverage based on satellite orbits, cloud forecasts, and revisit frequency.

It can also request electro-optical or synthetic aperture radar (SAR) imagery, activate RF collection windows, and run AI object-detection models to spot vessels or maritime infrastructure.

All collected imagery and RF data feed into an integrated hub with search and annotation tools. The system also links to Windward’s anomaly-detection framework.

To ensure accurate maritime tracking, RSI leverages multiple sensors to confirm or question the data reported by a vessel, comparing an AIS track with SAR backscatter patterns, RF emissions, or inconsistencies in the ship’s behavior.

This approach is meant to help analysts distinguish between GPS jamming, intentional AIS deactivation, or manipulated position reports.

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