Best data quality for solar manufacturing excellence
In solar cell and module manufacturing, performance depends on the quality of your data. Hidden defects, limited visibility, and slow ramp-up processes restrict efficiency across modern production lines.
Our inspection and data analytics solutions deliver superior data quality across all solar cell technologies - enabling transparent processes and precise control where it matters most.
This foundation of reliable, high-resolution data empowers manufacturers to achieve measurable efficiency gains, resulting in higher yield stability and lower cost per watt.
What sets a vision expert apart in solar manufacturing
Benefits
- Lower cost per watt: Optimize processes, save resources and reduce scrap or downstream failures
- Maximized efficiency: Increase yield stability, equipment efficiency and cell performance across all production stages
- Faster ramp-up: Benefit from centralized recipe management and smart software solutions to gain actionable insights and to speed production startup.
- Data-driven decisions : Leverage comprehensive and flexible data for continuous process improvement.
Solutions for cell manufacturing
- TopCon
- HJT
- BC structures
- Perovskite
Our inspection and data analytics solutions for TopCon cell production provide detailed visibility into critical process steps across the entire cell architecture.
High-resolution inspection data enables layer-specific analysis of passivation quality, tunnel oxide integrity, contact formation, and defect distribution. Manufacturers can detect process deviations at an early stage and precisely localize their root causes within the cell structure.
This level of process transparency supports stable production conditions and consistent yield performance in high-volume TopCon manufacturing.
Our inspection and data analytics solutions for Heterojunction (HJT) cell production deliver precise insights across all key process steps, including:
Incoming wafer inspection
Geometry and contour, edge distortions, chamfer deviations, micro-cracks, surface defects (stains, dust particles, scratches, watermarks)Layer deposition (i-a-Si, n/p-a-Si, μc-Si), TCO coating
Coating defects (flakes, discolorations), color, layer thickness, layer homogeneity, coating overlap to rear sidePrinting
Subpixel‑accurate inspection of fingers, busbars, paste defects, print‑to‑substrate/laser pattern alignment, and multi‑busbar positioningSorting
Reproducible performance binning based on color and optical quality
By analyzing rich, high-resolution data at every step, manufacturers can detect deviations early, optimize layer uniformity, and reduce cost per watt. The result: higher cell efficiency, faster ramp-up, and full transparency across the HJT process chain.
Precision in alignment and masking control
We support back contact architectures with specialized analytics for masking layer inspection and alignment control. This ensures accurate contact placement, reduced defects, and optimized electrical performance - critical for high-efficiency designs.
Masking layer inspection
Alignment control
Insight into complex multi-layer architectures
Our analytics cover both bottom and top cell processes in Perovskite (tandem) architectures. From TCO layers to ETL, absorber, and HTL deposition, we provide actionable insights that help stabilize performance, improve layer quality, and accelerate innovation in next-gen solar cells.
Bottom Cell: Incoming, deposition, coating (AIOx / SiNx), printing, sorting
Top Cell: TCO layers, ETL/absorber/HTL, printing, sorting
Solutions for module assembly
- String inspection
- Incoming cell control
Ensure stable string quality before lamination
Our photoluminescence-based string inspection identifies critical issues before lamination, helping manufacturers avoid costly rework and improve module yield.
- Detect inactive or underperforming cells within the string
- Check ribbon and solder connections for correct placement and integrity
- Identify misalignment or defects affecting current flow
This enables precise identification of electrical and mechanical defects at string level, ensuring consistent string quality and preventing defect propagation into subsequent module assembly steps.
As part of incoming quality control, we inspect cells before stringing, checking for defects and sorting them into color and performance classes. This ensures only high‑quality cells enter module assembly.
Sorting parameters
- Print geometry and quality: Position and rotation of print patterns, edge distance, finger and busbar width, finger/busbar defects, print defects, alignment control of laser/print pattern
- Coating quality: Coating defects, color impression, optical layer thickness
- Surface quality: Low-contrast defects such as stains, fingerprints, scratches
- Cell geometry and contour: Edge and corner dimensions, chamfer lengths/angles, diagonals, contour defects (breaks, V‑breaks)
Connected PV: Data Analytics and system management
Connected PV integrates inspection data, process information, and system management into a unified platform, bridging operations and analytics across the entire production line.
On the operations side, it enables centralized control of users, software, and inspection recipes, including pre‑qualification and consistent deployment across systems. This ensures stable and standardized production conditions across lines and factories.
On the analytics side, Connected PV provides detailed evaluation of inspection results at defect level, as well as yield and system health monitoring across all process steps. Relationships between process parameters, defects, and production conditions can be analyzed and traced across the entire line.
By combining operational control with flexible data analysis, Connected PV enables a deeper understanding of manufacturing processes and supports stable, scalable production performance.
Media hub
- Brochure
- Product flyer
- Video
- Technical paper
Quality inspection and data analysis for solar production [EN]
- Filename
- mvs-so-br-pv-cell-overview.pdf
- Größe
- 1 MB
- Format
LUMI-Q Coating
- Filename
- mvs-so-fl-lumi-q-coating-en-2024-07.pdf
- Größe
- 3 MB
- Format
LUMI-Q String [EN]
- Filename
- brochure-lumi-q-string-solar-en.pdf
- Größe
- 2 MB
- Format
