We provide AI-based inspection solutions that use data-driven learning to accurately
identify complex and non-patterned defects beyond the capabilities of conventional
vision algorithms.

• Automated classification of glass substrate and pattern defects using deep learning(CNN)

• Machine learning-based inspection for OLED panel process optimization

• Optimization of lighting wavelengths and inspection conditions using machine learning

• High detection accuracy for complex defect types, including irregular cracks and contamination

• Development and continuous improvement of AI inspection models using large-scale production data