Solar Panel Defect Image Identification System
Technology Introduction:
Technology Introduction:The image identification of PV system using AI technique for CPC Corporation is developed. Plenty of PV panel images collected utilizing a drone are prepared for machine learning. We combine the PV patterns with IR images to obtain locations with relatively high temperature by threshold setting. The defects may be thus clarified. A user interface is created to assist us with the identification.
Industry Applicability:
This technique is developed for the maintenance of solar PV systems. It mainly utilizes drones to capture images of PV panels and further employs AI models to identify potential defects for these panels. The problems may be solved as soon as possible in order to make sure the functions of the PV system.
Industrial Applications:
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CPC Corporation, Taiwan
Taiwan CPC Corporation was established in 1946 and is one of Taiwan’s most important state-owned energy enterprises. Over the past 80 years, the company has played a vital role in supporting the nation’s energy needs and economic development. CPC’s core businesses include the exploration, development, refining, transportation, storage, and marketing of petroleum and natural gas, while actively expanding into petrochemical products and emerging energy sectors. With a fully integrated upstream, midstream, and downstream value chain, CPC supplies the domestic market with essential oil and gas products as well as a wide range of petrochemical feedstocks. In recent years, in response to the global energy transition and net-zero emissions trend, CPC has continued to promote low-carbon energy development, invest in renewable energy, and implement carbon management initiatives. The company remains committed to environmental sustainability and corporate social responsibility while steadily advancing toward its goals of ensuring energy security, supporting industrial development, and achieving a greener future.
Contact Information
Name:-
Tel:07-582-4141 #7212
Address:NO.2, TSO-NAN RD., NAN-TZU DIST., KAOHSIUNG, TAIWAN
Additional Information
Pavilion:Innovation Economy Artificial Intelligence Application Area IA05
Exhibiting Entity:Department of State-owned Enterprise Affairs,MOEA
Application Category:Green Energy and Environment
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Pavilion:Innovation Economy Artificial Intelligence Application Area IA05
Exhibiting Entity:Department of State-owned Enterprise Affairs,MOEA
Application Category:Green Energy and Environment
Patents:
M658247