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Dual-axis solar tracking system based on Raspberry Pi imaging
Author(s) -
Agus Suryanto,
Noor Hudallah,
Tatyantoro Andrasto,
Cahyo Fajar Adhiningtyas,
Seftriana Anifa Khusniasari
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/700/1/012016
Subject(s) - solar tracker , photovoltaic system , tracking (education) , raspberry pi , tracking system , computer science , daylight , computer vision , artificial intelligence , engineering , optics , electrical engineering , physics , embedded system , psychology , pedagogy , filter (signal processing) , internet of things
Photovoltaic can transform daylight into electrical power. The application of solar tracking system improves the efficiency of photovoltaic system by increasing solar radiation fall on PV’s surface. This paper provides a low-cost solar tracking system based on image processing. Using Raspberry Pi Camera Board as a sensor to eliminate the need of another sensor. Image captured by camera fed to Raspberry Pi to calculate the position of the brightest sky body from the system’s perspective. the proposed system will face to the east and go to sleep mode after the sun set and start to work after the sun rise. This dual-axis solar tracking system based on Raspberry Pi imaging works properly whether it’s a sunny or heavily cloudy day.

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