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.
Specifications
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.
Functionality
Detection.
Sensor Modality
Visible light.
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.