Optimizing throughput with Machine Vision Lighting

By carefully selecting the optimum illuminator, you can ensure that defects are detected quickly and easily, increasing quality, reliability and yield

  • Optimizing throughput with Machine Vision Lighting
    Optimizing throughput with Machine Vision Lighting

Pro Photonix. Within machine vision systems, inappropriate or poor quality lighting can often result in longer processing times and reduced throughput. However, by carefully selecting the optimum illuminator, you can ensure that defects are detected quickly and easily, increasing quality, reliability and yield. It is always advisable that an optimum illumination study is conducted when setting up a vision system, and that it should be considered where images are not providing sufficient contrast – contrast being the ability to distinguish the difference between features of interest and the background. Ensuring that the light source is of a suitable brightness is critical as it can result in faster processing times, faster line speeds and higher quality products. 

Graduated in political sciences and international relations in Paris, Anis joined the team in early 2019. Editor for IEN Europe and the new digital magazine AI IEN, he is a new tech enthusiast. Also passionate about sports, music, cultures and languages. 

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