Solar Panel Defects Detection System based on Arduino Solution
Large solar panel installations are vital for our future of energy production without the massive carbon dioxide emissions we currently produce. However, microscopic fractures, hot spots, and other defects on the surface can expand over time, thus leading to reductions in output and even failures if left undetected. This solution for tackling this issue revolves around using computer vision and machine learning to find small defects at the surface before automatically reporting the information.
CATEGORY
Hardware,Software,Embedded,Cloud,Machine learning,Internet of Things
REFERENCE DESIGN
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PARTS IN DESIGN / BOM
| MFGR | PART# | BLK NM |
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