Title:
POWER SUPPLY PORT POSITIONING METHOD AND SYSTEM FOR INSULATION TEST OF ELECTRICAL PRODUCT
Document Type and Number:
WIPO Patent Application WO/2023/040176
Kind Code:
A1
Abstract:
Disclosed in the present invention are a power supply port positioning method and system for an insulation test of an electrical product, the method comprising the following steps: mounting a long-range camera and a close-range camera, wherein the long-range camera acquires an overall image of an electrical appliance; de-distorting the overall image of the electrical appliance by means of a distortion parameter; performing a perspective transformation to extract a picture of a power supply port area of interest; using a deep learning network model to identify and position the location of a power supply port; driving the close-range camera to reach the location according to the location of the power supply port obtained by the long-range camera; the close-range camera using the deep learning network model to identify and position the location of the power supply port and the location of a plug corresponding to the power supply port; taking the power supply port corresponding to the minimum distance as a target power supply port; determining the direction of the power supply port; and driving a power supply plugging apparatus to reach the location of the close-range camera at this time to perform an insulation test on a product. The present invention solves the problems of the random appearance of the location of a power supply port and the uncertainty of the direction of the power supply port of an electrical product, thereby achieving accurate positioning of the power supply port, and meeting test requirements.
Inventors:
WANG GUANYU (CN)
Application Number:
PCT/CN2022/076358
Publication Date:
March 23, 2023
Filing Date:
February 15, 2022
Export Citation:
Assignee:
AMAX INFORMATION TECH SUZHOU CO LTD (CN)
International Classes:
G06T7/73
Foreign References:
| EP3842820A1 | 2021-06-30 | |||
| CN112101118A | 2020-12-18 | |||
| US20160325836A1 | 2016-11-10 |
Other References:
"Master's Thesis", 1 June 2019, HARBIN INSTITUTE OF TECHNOLOGY, CN, article CHENG, XIAOJING: "Research on RRU Power Port Detection Technology Based on Deep Neural Network", pages: 1 - 74, XP009544509, DOI: 10.27061/d.cnki.ghgdu.2019.001501
Attorney, Agent or Firm:
CENTRAL SOUTH WELL INTELLECTUAL PROPERTY OFFICE (CN)
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