DSTEK

Solutions

Defect Detection Solution to PV Field

The defect detection of solar cells and their modules has always been an urgent problem for the PV industry to improve the production quality and quantity.

The traditional defect detection algorithms can detect a single defect well but can not work effectively for various defects of different shapes and sizes in the actual production line, with a bottleneck in universality. Now, an object detection approach based on deep learning can automatically detect various defects on the electroluminescence (EL) pictures of solar PV modules.

Solar Cell Chip Lamination EL Detection

Well-known solar cell manufacturer in China- lamination EL detection project
Half-cell Module EL Detection of Conventional Monocrystalline Silicon Modules

A well-known solar cell module manufacturer in China - conventional monocrystalline silicon module EL detection project
Conventional Polycrystalline Silicon Module EL Detection

A well-known solar cell module manufacturer in China - conventional polycrystalline silicon module EL detection project
Monocrystalline Silicon Solar Cell Chip Defect Detection

A global top 500 photovoltaic enterprise - monocrystalline silicon solar cell chip defect detection project
Polycrystalline Silicon Solar Cell Chip Defect Detection

A global top 500 photovoltaic enterprise - polycrystalline silicon solar cell chip defect detection project