Solar module

With a camera on the line and AI that evaluates every module for defects. In the elunic solution example, AI.SEE Lens captures the images, while AI.SEE Edge evaluates them on site and controls the next process step. The system can be integrated into running production processes and replaces fatigue-prone manual visual inspection with consistent detection performance.

The AI finds scratches, cracks and clouding that conventional measuring devices do not detect. These defects in the glass cover were exactly what had often slipped through at the module manufacturer in the solution example. The system also recognises colour deviations, dents and voids on surfaces. Because the software starts with pre-trained models, it detects typical quality problems straight away and learns the specifics of the manufacturer's own modules within a short time.

It increases the share of defect-free modules and lowers quality assurance costs. The manufacturer in the solution example significantly increased the share of defect-free, high-quality modules compared with its previous inspection. A statistical analysis of the inspection results led to further process improvements, reducing staffing effort and costs. The AI also works faster than visual inspection and does not tire.

Yes, the image recognition reads text such as serial numbers and type plates directly on the line. elunic's AI.SEE combines this task with surface inspection and with recognising, counting and measuring assemblies and components. A single inspection step thus produces a data record per module that links its identity with the inspection result and is available for later statistical analysis of quality.