Sense Aeronautics stands at the forefront of AI-driven video analytics for unmanned aerial vehicles (UAVs), supported by the esteemed Spanish R&D association Gradiant, a leader in computing technology. As a key partner of Unmanned Systems Technology (UST),Sense Aeronautics is recognized for its innovative contributions to the field.
UST is excited to highlight the distinctive offerings of Sense Aeronautics through their supplier profile, which emphasizes the company’s advanced drone video analytics solutions. These solutions are tailored for real-time automated analysis of video feeds,adaptable to meet the specific needs of each client.
Continue reading to discover more:
The Automatic Target Recognition (ATR) system from Sense Aeronautics excels in swiftly identifying and categorizing points of interest within electro-optical (EO) video streams. This technology outperforms human operators in terms of speed, cost-efficiency, and accuracy. Its scalable architecture allows it to manage multiple video streams simultaneously, making it particularly suitable for drone fleets and swarm operations.
The ATR software is capable of recognizing various target types, such as individuals, vehicles, and other drones. It proves invaluable for applications like infrastructure monitoring, border surveillance, and search and rescue missions. A cloud-based version of this solution is currently available for testing.
Additionally, the Foreign Object debris (FOD) Detection system enhances commercial off-the-shelf (COTS) drones by enabling them to automatically identify and classify unexpected objects and debris, as well as monitor changes on roads and runways. Prior to deployment,calibration flights are conducted to ensure peak performance,with automatic recalibration occurring after each flight to maintain accuracy.
All detected objects are geo-tagged for straightforward review and verification, while false alarms are systematically filtered out. The AI-driven software can be implemented on the drone itself, at the ground control station, or on a remote cloud server.
The Detect-and-Avoid (DAA) system utilizes onboard EO cameras to autonomously identify both cooperative and non-cooperative aircraft nearby, providing real-time alerts to assist in collision avoidance. The system offers various logging capabilities, including telemetry data, health status, alarms, and tracking information, along with visual data. Typical detection ranges extend to 500 meters for a Matrice 600 drone and over 3 kilometers for a Cessna Skylane aircraft.
This system is designed for deployment on the UAV,at the ground control station,or on a remote cloud server,with the cloud version now available for testing.
For further information about Sense aeronautics and their AI-enhanced video analytics solutions for drones and robotics, please visit their profile page:
https://www.unmannedsystemstechnology.com/company/sense-aeronautics/
