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Patent Searching and Data


Title:
DEVICE FOR INSPECTING DEFECT OF SOLAR PANEL AND METHOD FOR OPERATING SAME
Document Type and Number:
WIPO Patent Application WO/2023/219453
Kind Code:
A1
Abstract:
The present invention relates to a device for detecting a defect of a solar panel and a method for operating same, wherein the device for detecting a defect of a solar panel comprises: a model providing unit that provides a pre-trained model; a communication module that receives captured images of a solar panel from an image sensor; a processing module functionally connected to the model providing unit and the communication module, wherein the processing module is configured to collect the captured images of the solar panel, apply the captured images to the pre-trained model to create an attention map, and determine whether there is a defect in the solar panel depending on whether the attention map is abnormal.

Inventors:
PARK YEONGHYEON (KR)
Application Number:
PCT/KR2023/006463
Publication Date:
November 16, 2023
Filing Date:
May 12, 2023
Export Citation:
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Assignee:
SK PLANET CO LTD (KR)
International Classes:
H02S50/10; G06N3/08; G06T7/00; G06V10/774; G06V10/82
Foreign References:
KR20200075141A2020-06-26
KR20210067110A2021-06-08
KR20150067942A2015-06-19
US20200358396A12020-11-12
Other References:
RAHMAN MUHAMMAD RAMEEZ UR; CHEN HAIYONG: "Defects Inspection in Polycrystalline Solar Cells Electroluminescence Images Using Deep Learning", IEEE ACCESS, IEEE, USA, vol. 8, 27 February 2020 (2020-02-27), USA , pages 40547 - 40558, XP011776140, DOI: 10.1109/ACCESS.2020.2976843
PARK YEONGHYEON; KIM MYUNG JIN; GIM UJU: "Attention! Is Recycling Artificial Neural Network Effective for Maintaining Renewable Energy Efficiency?", 2022 IEEE TEXAS POWER AND ENERGY CONFERENCE (TPEC), IEEE, 28 February 2022 (2022-02-28), pages 1 - 5, XP034111893, DOI: 10.1109/TPEC54980.2022.9750784
Attorney, Agent or Firm:
PARK, Chonghan (KR)
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