Mycronic, a leading manufacturer of photomasks for LCD screens, faced challenges in ensuring the highest possible precision in their nanometer-scale laser engraving. To optimize the manufacturing process and detect defects at an early stage, they needed advanced algorithms for image recognition and computer vision.

Our Solution

We collaborated with Mycronic to develop and implement cutting-edge algorithms for computer vision (CV) and image classification using AI and machine learning (ML). The solution included:

• Development of advanced computer vision algorithms to analyze and inspect photomask quality with extreme precision.
• AI/ML-powered image classification to automatically identify and categorize potential defects in the production line.

Results & Impact

• Increased accuracy in quality control, reducing the number of defective photomasks.
• Optimized manufacturing processes through faster and more reliable image analysis.
• Lower production costs while raising the standards for LCD screen manufacturing.

Together with Mycronic, we have elevated computer vision and image classification to the next level, strengthening their position as a leader in nanometer-precision laser engraving.