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Computer Vision: Optical Quality Control
Precision meets speed with AI-powered inspection, ensuring superior optics in every product.
Goal
- To ensure manufacturing precision and reliability.
- To quickly identify cracks, porosities, or surface imperfections on the cylinder head using computer vision.
- To separate defective cylinder heads from those meeting quality standards based on computer vision results.
Technique
- Image augmentation, Image classification, Object detection, Computer vision, Deep learning, Surface Defect Analysis.
Impact
- Early defect identification and process optimization contribute to lower production costs.
- Predictive maintenance based on data science models minimizes downtime and prevents unexpected failures.
- Automation reduces manual effort, leading to quicker inspections and improved production efficiency.
