Geospatial Segmentation and Vision AI for Rapid Detection and Classification of Faults in Rooftop Solar Panels
This research introduces an innovative approach for solar panel segmentation and anomaly detection utilising Vision AI, specifically the YoloV11 model, combined with Semantic Anything Model (SAM2) semantic geospatial segmentation techniques. Our study focuses on rapidly segmenting rooftop PV systems...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/29/e3sconf_icfee2025_06007.pdf |
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