Designed around factory realities.
Generic models trained on public datasets do not know your station, your imaging conditions or your quality criteria. PVExa is prepared on your production data and deployed within your existing process.
Panel types, imaging conditions and acceptance limits vary. PVExa is adapted to your production data and quality definitions.
Inspection results are connected to the supported EL application workflow, so analysis can become part of the station's decision process.
Production inference runs on local hardware without requiring EL images to be processed by a cloud service.
In assisted operation, findings are prepared for operator review and confirmation before the result is returned.
One inspection workflow.
Value across the team.
Review findings against defined criteria and evaluate where AI and reference decisions agree or differ.
Assess how inspection decisions affect station waiting time and the flow of panels through the line.
Review the image, locate the finding and confirm the classification with the relevant information in context.
What changes when inspection is supported by AI?
This comparison reflects the documented station setup and operating mode. Workflow details depend on the station, software environment and agreed configuration.
The value should show up in your own line data.
Assess PVExa against your current inspection workflow using agreed quality and operational measures.
Estimate review time released.
This estimates cumulative review time, not guaranteed throughput, staffing reduction or financial savings. Inputs should reflect your workflow.
Let's assess the fit
for your factory.
Discuss your EL station, quality criteria and current review process with our team.