Համահեղինակ(ներ):

Hovhannisyan Anna

Ամփոփում:

The detection of solar cell defects is highly important in the development, production and use of photovoltaic modules. Solar cell defects can be detected by different methods including electroluminescence, photoluminescence and thermography. In this paper, the algorithm for solar cell defect detection by digital image processing using infrared image acquired from thermal camera is proposed. The algorithm is based on comparison of infrared images of testing cell and the sample of high quality solar cell. For the algorithm realization, NI LabVIEW and NI Vision Development Module have been used. The suggested method of defects detection allows to automatically find the location of the defect with high accuracy. This is a practical example, which was tested on the production line using solar cell and thermal camera. The main idea used in the image processing part of the system is particle analysis. It’s described in the paper

Նույնականացուցիչ:

oai:noad.sci.am:135814

Լեզու:

English

URL:

լրացուցիչ տեղեկատվություն:

armenpet@ipia.sci.am ; anna.l.hovhannisyan@gmail.com

Կազմակերպության անվանում:

Institute for Informatics and Automation Problems ; National Polytechnic University of Armenia

Երկիր:

Armenia

Տարի:

2017

Ժամանակահատված:

September25-29

Գիտաժողովի անվանում:

11th International Conference on Computer Science and Information Technologies CSIT 2017

Վայր:

Yerevan

Մասնակցության տեսակը:

oral