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Sinovoltaics SELMA
AI mass analysis of solar-module EL images before shipment.
What it does
Sinovoltaics EL Mass Analysis (SELMA) classifies cell-level defects in electroluminescence images to support factory and pre-shipment quality decisions. Its inspection offer can cover all modules in an agreed production scope and identifies multiple crack, cell and electrical defect categories.
Who it is for
PV buyers, EPCs and module factories screening manufacturing quality before shipment.
What stands out
- AI classification of cell-inherent EL defects
- Mass image analysis for production and shipment screening
- Inspection-linked identification of nonconforming modules
Limitations to consider
- Whole-production scope must be agreed for the project.
- Published accuracy and removal claims are vendor claims, not comparative guarantees.
Integrations & connections
Tasks it can help with
Sources & verification
This profile is based on vendor documentation, checked Oct 23, 2026. It is not a hands-on review or a performance benchmark. Unknown details are marked explicitly.
SELMA capabilities, inspection scope and quote routeOfficial project and commercial contactSuggest a correction