Classification
Classification Application Case Studies
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Solomon’s SolVision AI quickly identifies socks defects with real-time defect detection, improving quality control and efficiency for textile manufacturers.
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SolVision AI vision system enhances quality control and metal casing inspection with greater accuracy and speed, preventing defective products.
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SolVision overcomes challenges in laser welding inspection with AI, enabling precise defect detection for improved laser welding quality control.
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SolVision utilizes AI for precise inspection and defect detection in plastic buckle clips, enhancing quality control and production efficiency.
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Overcoming traditional AOI limitations, Solomon’s SolVision quickly performs OCR without being affected by background or lighting conditions, complexity, or appearance of the serial number.
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Faulty wafers also usually have subtle defects randomly scattered on the surface, and this prevents AOI systems from setting rules for efficient inspections.
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There are many types of defects that may appear differently each time on the stamped parts, in particular oil or water stains, which are not easily detected.
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Deploy SolVision’s advanced AI model to identify and classify cells where traditional AOI systems are insufficient in detecting and determining cell variations.






