Line scanning with deep learning
AssigneeThruvision Limited
InventorNicholas Stuart GRAHAM-RACK
Life of this patent
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Abstract
Methods and devices for computer-implemented scene processing include obtaining samples of a scene in a field of view based on output from one or more radio frequency (RF) detector arrays configured to receive radiation according to a scan pattern. The samples are processed through a plurality of one-dimensional convolution filters, and a three-dimensional feature tensor is generated based on the processing. Using a convolutional neural network, additional processing is used to detect one or more properties of the scene, and an output is generated indicating the detected one or more properties of the scene.
Claims22
A scene processing method, the method comprising:
- obtaining samples of a scene in a field of view based on output from one or more radio frequency (RF) detector arrays configured to receive radiation;
- processing, using a convolutional neural network, a multi-dimensional feature tensor based on the scene to detect one or more properties of the scene;
- and
- generating an output indicating the detected one or more properties of the scene.
A scene processing system comprising:
- a processor;
- and
- a non-transitory memory coupled to the processor, wherein the processor is configured to perform a method comprising:
- obtaining samples of a scene in a field of view based on output from one or more radio frequency (RF) detector arrays configured to receive radiation;
- processing, using a convolutional neural network, a multi-dimensional feature tensor based on the scene to detect one or more properties of the scene;
- and
- generating an output indicating the detected one or more properties of the scene.
(canceled)
A system configured to:
- obtain samples of a scene in a field of view based on output from one or more radio frequency (RF) detector arrays configured to receive radiation;
- process, using a convolutional neural network, a multi-dimensional feature tensor based on the scene to detect one or more properties of the scene;
- and
- generate an output indicating the detected one or more properties of the scene.
(canceled)
-45. (canceled)
Dependencies are inferred from the claim text.