Invention Grant
- Patent Title: Manufacturing part identification using computer vision and machine learning
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Application No.: US15891982Application Date: 2018-02-08
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Publication No.: US10592726B2Publication Date: 2020-03-17
- Inventor: Alberto Rivera , Kiril Spasovski , Shounak Athavale , Randy Nunez
- Applicant: Ford Motor Company
- Applicant Address: US MI Dearborn
- Assignee: FORD MOTOR COMPANY
- Current Assignee: FORD MOTOR COMPANY
- Current Assignee Address: US MI Dearborn
- Agency: Stevens Law Group
- Agent David R. Stevens
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/11 ; G06T7/194 ; G06T7/10 ; G06T19/00 ; G06T19/20 ; G02B27/01

Abstract:
Systems, methods, and devices for object detection, including manufacturing part detection, are disclosed. A method for identifying a manufacturing part includes receiving an image comprising a manufacturing part from an augmented reality device and determining a bounding perimeter encapsulating the manufacturing part. The method includes receiving a prediction label and a confidence value for the manufacturing part from a neural network. The method includes generating a message comprising the image, the prediction label, and the confidence value, and providing the message to the augmented reality device.
Public/Granted literature
- US20190244008A1 Manufacturing Part Identification Using Computer Vision And Machine Learning Public/Granted day:2019-08-08
Information query