Edge-to-Cloud AI Software Gets Major Facelift

by Mat Dirjish

MatrixSpace, provider of an AI-enabled, portable C-UAS detection platform that offers persistent detection and classification for airspace, perimeter, and object monitoring in outdoor environments, is making a major update to its edge-to-cloud MatrixSpace AI software platform. The software now supports multi-sensor, multi-drone detection in real time for counter UAS applications. Reportedly, it delivers true threat assessment and early warning, i.e., detecting, tracking, and identifying, enabling on-site and remote operators to make split-second decisions regarding airspace activity. The platform is sensor agnostic and seamlessly integrates into existing systems through open APIs.

The MatrixSpace AI Platform consists of MatrixSpace AiEdge, the company’s intelligent sensor operating system, and MatrixSpace AiCloud, a software-as-a-service that collects data from AiEdge-enabled sensors for a comprehensive view of airspace activity. As per its maker, MatrixSpace AiEdge and AiCloud are AI-native, making information rapidly actionable and easier to comprehend.

AiEdge provides actionable intelligence at the point of sensor data collection. It detects, classifies, and tracks multiple object types and presents a relevant picture of aerial activities while fusing feeds from different sensors. It combines detections from the company’s radars with complementary sensors such as Remote ID and ADS-B into a single, real-time track. By correlating multi-sensor data at the edge, AiEdge creates a common data representation and cues pan-tilt-zoom cameras for rapid visual confirmation.

On top of AiEdge deployments, MatrixSpace AiCloud promises to simplify the management of geographically diverse sensor networks into a single view. Eliminating banks of monitors displaying individual sensor feeds, AiCloud provides operators with visibility into low-airspace activity, alerts, and warnings across all protected sites and accessible on any device.

Matt Kling, VP and General Manager, AI Systems, MatrixSpace, explains, “Most traditional systems rely on noisy, exotic sensors with siloed, cumbersome command and control (C2) structures that hinder decisive action. But as threats of drone detection get only more complex, they require instant threat truth. Using AI to corroborate multiple inputs into one clear signal is the beauty of the MatrixSpace AI Software Platform, empowering customers to fully meet the threats we’re seeing today and in the future.”

For deeper details, peruse the MatrixSpace AI Software Platform overview. Also pay a visit to the MatrixSpace website.

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