A Red Cat Black Widow drone undergoes testing for AI-powered detection of explosive threats.
A Red Cat Black Widow drone undergoes testing for AI-powered detection of explosive threats. Photo: Safe Pro Group

The US Army is bringing in an AI-powered drone intelligence system to detect explosive threats and generate battlefield maps from aerial imagery at the tactical edge.

Safe Pro Group said it has received an order for a turnkey Threat Analysis Kit that integrates its Navigation Observation & Detection Engine (NODE) edge computing platform with Red Cat’s Black Widow drones.

With NODE, the kit uses artificial intelligence and machine learning to detect landmines, unexploded ordnance, cluster munitions, and other threats from drone imagery.

It also supports local, edge-based processing of imagery, enabling the generation of orthomosaics, terrain maps, and digital surface models that help visualize detected hazards.

Once integrated with Red Cat’s Black Widow drone, the system draws on a dataset of 2.75 million drone images collected across more than 35,000 acres of battlefield terrain in Ukraine.

This training base enables the platform to identify more than 150 types of explosive threats and other objects of interest across high-risk environments.

In addition to the kit and Black Widow drone integration, the deal includes software updates and operational support services.

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