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7 Pitfalls in Machine Vision

Choosing the right lens is only the first step in a successful machine vision setup. Even the best optics can underperform if used incorrectly - and small mistakes can lead to big problems, from blurry images to system instability. In our latest guide, "7 Pitfalls When Using Machine Vision Lenses", we break down the most common issues that engineers and integrators face in real-world applications. Whether you're designing a compact inspection system or a long-range robotics application, understanding these pitfalls will help you make smarter design decisions.

Here's a preview of what we cover:

  • Working below the minimum object distance: getting too close? Your lens may not be able to focus properly. We explain what happens when you ignore M.O.D. specs and how to correct it.
  • Inability to focus at infinity: especially relevant in telecentric and long-distance setups, we explain how certain design factors can prevent infinite focus.
  • Depth of field limitations: blurry edges or inconsistent inspection? We explore how depth of field affects clarity and what to do when it's not enough.
  • Chief ray angle requirements: modern sensors are picky. Learn how CRA mismatch can cause light loss or poor contrast, especially with compact sensors.
  • Spectral response: the light you see may not match what your camera sees. Discover how coatings, materials, and wavelength shifts affect performance.
  • Focus shift at different wavelengths: switching between VIS and NIR? Learn how to avoid chromatic blur when dealing with multi-wavelength setups.
  • Stability and mechanical problems: we explain why lens stability matters - and how to prevent shifting, vibration, or thermal drift from ruining your image.

    Download the full guide here
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