UAS Detector.

A deep learning-based model for detecting and countering drones using 3D models and environments. Can perform on various sensors, including low cost camera systems.

PERFORMANCE

Optimized for edge performance with a low SWaP.

PERSPECTIVE AND CONDITIONS

Ground-to-aerial perspective. Dawn to dusk.

POT AND RANGE

Effective for small and distant objects down to 93 POT. Up to 3 kilometers.

CLASSES

Effective for a variety of UAS, including fixed wing drones.

ARCHITECTURE

Backbone: Resnet-101; Detector: RefineDet.

FUNCTIONALITY

Detection.

INPUT SIZE

512x512.

SENSOR MODALITY

Visible light.

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Use cases.

Counter drones with a ground-to-aerial deep learning model.

Security

Use the UAS Detection algorithm as a part of a larger security framework. Enhance your existing security grid and ensure your system is ready for anything with a model trained to detect a wide variety of drone makes and models.

Perimeter security

Add to existing perimeter security measures with a model built to detect hundreds of drone model variations. This algorithm has been tailored to reduce false positive in typical air conditions through CVEDIA’s pioneering use of synthetic data.

Airports

Maintain an airport landing space free of foreign objects with the UAS Detector, trained extensively with drone model variants including quadcopters, octocopters, and hexacopters.

Public events

Ensure peace of mind in public spaces and events with less resources using the UAS Detector. CVEDIA models help you surpass the data collection and training phases of your project, so that you can get to market quicker.

Our services.

We offer maintenance services for our AI models and provide the option to add fine grain classification or additional classes through our in-house team. Our models are built with proprietary synthetic data technology, allowing for quick integration of new classes.

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