- Patent Title: Part recognition and damage characterization using deep learning
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Application No.: US15871526Application Date: 2018-01-15
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Publication No.: US10460431B2Publication Date: 2019-10-29
- Inventor: Luca F. Bertuccelli , Kishore K. Reddy , Kin Gwn Lore
- Applicant: Otis Elevator Company
- Applicant Address: US CT Farmington
- Assignee: OTIS ELEVATOR COMPANY
- Current Assignee: OTIS ELEVATOR COMPANY
- Current Assignee Address: US CT Farmington
- Agency: Cantor Colburn LLP
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06K9/62 ; B07C5/342 ; B07C5/12 ; G06T7/73 ; B65G47/49 ; G06T7/70 ; G06K9/32 ; G06K9/46 ; B65G47/68 ; G06N3/08
Abstract:
According to one embodiment, a method of identifying a part of a conveyance system is provided. The method comprising: capturing an image of a part of a conveyance system using a camera; classifying the part of the conveyance system using supervised learning; and displaying a classification of the part of the part on a mobile computing device.
Public/Granted literature
- US20190217340A1 PART RECOGNITION AND DAMAGE CHARACTERIZATION USING DEEP LEARNING Public/Granted day:2019-07-18
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