Revolutionizing UAV surveillance: Sense Aeronautics’ New Geolocation Feature

Sense Aeronautics, a pioneer in AI-driven video analytics for unmanned aerial vehicles (UAVs), has launched an innovative target geolocation feature as part of its Automatic Target Recognition (ATR) system.

Enhanced Detection Capabilities

This cutting-edge geolocation feature significantly boosts the system’s ability to identify individuals and vehicles.By merging drone and camera telemetry, the upgraded ATR solution now provides GPS coordinates for identified targets, facilitating real-time mapping and accurate geolocation.

Improved spatial Awareness

In addition to pinpointing locations, the new feature estimates the distance to targets, enhancing situational awareness crucial for informed decision-making. The integration of telemetry data as a foundational element further refines AI detection performance,leading to greater accuracy even in challenging environments.

Transforming Surveillance Operations

The introduction of the target geolocation feature greatly amplifies situational awareness and precision, making drone-based surveillance and monitoring operations significantly more effective.

Scalable and Efficient ATR Solution

Designed to automatically identify and categorize targets within electro-optical (EO) and infrared (IR) video feeds,sense Aeronautics’ ATR solution offers a faster,more economical,and less error-prone choice to human operators. Its scalable architecture allows for the management of numerous video streams, making it especially suitable for drone fleets and swarm operations.

Telemetry Integration for Enhanced Performance

The latest version of the ATR system incorporates the ability to access telemetry data from drones, which not only enhances AI performance but also provides essential geolocation details for detected targets. This capability allows for the visualization of targets on a map, significantly improving operational awareness.

Flexible Deployment Options

the ATR system is versatile, available for deployment on the edge as well as in local, public, and private cloud environments, ensuring adaptability across various operational contexts.