Title:
UNMANNED PARKING CONTROL SYSTEM AND METHOD BASED ON DEEP LEARNING OBJECT TRACKING
Document Type and Number:
WIPO Patent Application WO/2022/145594
Kind Code:
A1
Abstract:
Provided is an intelligent unmanned parking control system comprising: an image-capturing device for generating parking-zone-specific video information; and a server, which detects an entering vehicle from the parking-zone-specific video information by using a pre-stored machine learning model, extracts a plurality of pieces of still image information including the entering vehicle from the parking-zone-specific video information by using the pre-stored machine learning model, extracts number plate information about the entering vehicle from each of the plurality of pieces of still image information including the entering vehicle by using the pre-stored machine learning model, and compares the number plate information about the entering vehicle, having been extracted from each of the plurality of pieces of still image information including the entering vehicle, so as to generate number information about the entering vehicle.
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Inventors:
CHOI SUNG CHUNE (KR)
Application Number:
PCT/KR2021/006827
Publication Date:
July 07, 2022
Filing Date:
June 01, 2021
Export Citation:
Assignee:
OPENSYSNET CO LTD (KR)
International Classes:
G06Q50/30; G06N20/00; G07B15/02; G08G1/14
Foreign References:
| JP6145013B2 | 2017-06-07 | |||
| KR101756849B1 | 2017-07-12 | |||
| KR102056561B1 | 2020-01-22 | |||
| KR20190078688A | 2019-07-05 | |||
| KR20190046616A | 2019-05-07 |
Attorney, Agent or Firm:
HONESTY & JR PARTNERS INTELLECTUAL PROPERTY LAW GROUP (KR)
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