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Patent drawing for Unmanned vehicle recognition and threat management
US 10,529,241 B2
Traffic systems US 10,529,241 B2 Not in force

Unmanned vehicle recognition and threat management

This invention describes a system designed to automatically detect and identify unmanned vehicles, like drones, and their remote controllers by listening to their radio signals. It uses several radio receivers to pick up these signals, converts them into a digital format, and then feeds them into an artificial intelligence system. This AI, specifically trained with advanced techniques like Inception-based convolutional neural networks or YOLO algorithms, learns to recognize the unique radio patterns of drones and their controllers, while also pinpointing their direction.

Why it matters: Since 2019, AI algorithms like CNNs and YOLO have become significantly more efficient and accessible, making the development and training of the detection and classification engines less resource-intensive. However, acquiring comprehensive real-world RF training data for diverse drone types remains a substantial hurdle.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedMultiple RF receivers, complex AI software, training data

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