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Machine vision, also known as computer vision, has become an increasingly important tool in manufacturing processes. The ability of machine vision systems to analyze images and extract information from them makes them ideal for a variety of applications in production, from quality control to measuring and monitoring.

One of the most important applications of machine vision in manufacturing is crack detection in parts. Detecting cracks in metal or ceramic parts is essential to ensuring product safety and durability. Machine vision systems can analyze images of parts and detect even the smallest cracks, allowing manufacturers to take preventative measures before products hit the market.

Another important application of machine vision is measuring and monitoring. Machine vision systems can accurately measure part dimensions, ensuring they meet design specifications. This helps to ensure consistency and quality in the final product.

Finally, quality control is another key application of machine vision in manufacturing. Machine vision systems can visually inspect parts and compare them to a digital reference model to detect imperfections such as scratches, dents, or paint defects. This allows manufacturers to quickly identify quality issues and take corrective action before products hit the market.

In summary, machine vision has become an indispensable tool in manufacturing processes, especially with regard to crack detection, measuring and monitoring, and quality control.

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