Cutting-Edge AI-powered Drone Video Analytics Solutions for Object Detection & Collision Avoidance

Sense Aeronautics is an innovative developer of AI-powered video analytics solutions for UAVs (unmanned aerial vehicles), backed by Spanish R&D firm and leading computing specialist Gradiant. Our disruptive technology is designed to elevate the autonomy capabilities of commercial drones to levels that were previously thought to be impossible, providing true scalability, enhanced profitability and provable results.

Our solutions are focused on the automated real-time analysis of drone video feeds, and are customizable to the unique requirements of each client. The cutting-edge software is ideal for drone OEMs and fleet operators as well as developers of drone management platforms, and can be deployed on edge devices, ground control stations, or cloud servers.

Our unique approach

Our drone video analytics solutions are based on a unique combination of factors that provide a number of advantages for industry professionals looking to improve and scale up their operations:

Advanced AI and relevant datasets – our AI models are trained with high-quality data that is specific to drone video feeds, and accounts for unique challenges such as vibration, moving cameras, and dynamic backgrounds and lighting conditions.

Drone-specific technology – the implementation of our technologies utilizes low-latency communications and industry-standard protocols, and has been rigorously tested in a variety of operational scenarios, including edge, cloud and local deployments.

Automatic performance evaluation – based on tangible and operational KPIs for every model in all required scenarios and target outcomes, and can be fine-tuned for optimal performance.

We believe that this approach, combined with state-of-the-art COTS processing hardware such as the NVIDIA Jetson platform, strikes a balance of performance, flexibility, and cost that is a game-changer for small and medium drones.

Automatic Target Recognition

AI-powered real-time object detection and classification

Our Automatic Target Recognition (ATR) solution automatically detects and classifies targets of interest in EO video streams, delivering results that are faster, more cost-effective and less error-prone than human operators. The system is highly scalable and can handle any number of video streams, making it ideal for drone fleet and swarm applications.

The ATR software can detect a variety of different target types, including people, vehicles, and other drones, and is ideal for facilities and infrastructure monitoring, border control, search and rescue, and more. The cloud-based version of this product is currently ready for testing.

Learn more: Automatic Target Recognition (ATR) solution

Foreign Object Debris Detection

Aerial FOD detection for roads and runways

The Sense Aeronautics FOD Detection solution equips COTS drones with the ability to perform automatic detection and classification of unexpected objects and debris, as well as change detection on roads and runways. The system utilizes calibration flights prior to deployment to ensure optimal performance, as well as automatic recalibration after each flight to keep up to date.

All detections are geo-localized for easy review and confirmation, and false alarms are automatically filtered. The AI-powered software can be deployed on board the drone, on the ground control station, or on a remote cloud server.

Learn more: Foreign Object Debris Detection

Detect-and-Avoid

Collision avoidance solution detecting both collaborative and non-collaborative aircraft

Our detect-and-avoid (DAA) solution uses onboard EO cameras to automatically detect both collaborative and non-collaborative aircraft in the vicinity of the drone, providing real-time alerts that can be used to facilitate collision avoidance. The system provides a range of logging options, including basic telemetry and health, alarms and tracking information, and visual data. Typical detection ranges are 500 metres for a Matrice 600 drone and over 3km for a Cessna Skylane aircraft.

The system is designed for deployment on board the UAV, on the ground control station, or on a remote cloud server. The cloud version is now ready for testing.

Learn more: Detect-and-Avoid (DAA) solution