Abnormal object detection warning system and abnormal object detection method
AssigneeWistron Corporation
InventorsZhe Yu LIN, Zhao Yuan LIN, Cheng Yang CHEN
Life of this patent
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Abstract
An abnormal object detection warning system applicable to an unmanned vehicle performing a track inspection task includes a storage module, a detection module, and a notification module. An abnormal object detection method, including: storing image data captured by an unmanned vehicle; detecting the image data to identify image data with abnormal characteristics from the image data; and transmitting the image data with the abnormal characteristics to a mobile device of a user. An electronic device has a system software including an abnormal object detection warning system, and the system software can be updated online.
Claims20
An abnormal object detection warning system, being applicable to image data captured by an unmanned vehicle performing a track inspection task, comprising:
- a detection module configured to detect the image data to identify image data with abnormal characteristics from the image data;
- and
- a notification module configured to transmit a warning signal with the abnormal characteristics.
An abnormal object detection method, comprising:
- (a) storing image data captured by an unmanned vehicle through a storage module;
- (b) detecting the image data by a detection module so as to identify image data with abnormal characteristics from the image data;
- and
- (c) transmitting the image data with the abnormal characteristics to a mobile device of a user through a notification module.
An electronic device, comprising:
- a storage unit configured to store image data captured by an unmanned vehicle;
- a memory unit configured to store system software for the electronic device to execute, the system software comprising:
- a detection module configured to detect the image data to identify image data with abnormal characteristics from the image data, wherein the detection module comprises a neural network module configured to receive the image data and process the image data through a neural network so as to obtain a prediction output, and the detection module generates a color on the image data with the abnormal characteristics based on the prediction output;
- and
- a network unit configured to transmit the image data with the abnormal characteristics, wherein
- the electronic device updates the system software online through the network unit.
Dependencies are inferred from the claim text.