Quality assurance through defect detection in solar cell production
Today, inspections to find faults in photovoltaic panel production are still carried out manually by a worker on site.
In order to simplify this process and to reduce the error rate, elunic was commissioned to develop a system based on artificial intelligence that automatically detects errors.
- Increase of quality and reduction of rejects during the production process.
- Increase of throughput through automation.
- Reduction of costs.
Solutions & Services
- Use of deep learning algorithms for error detection.
- Labeling and classifying of custom errors.
- Installation of required hardware.
- MES and quality management integration.