7 pitfalls when using machine vision lenses and how to solve them!

7 pitfalls when using machine vision lenses and how to solve them!

Selecting the right lens is just one piece of the puzzle when it comes to achieving reliable machine vision performance. Even premium optics can fall short if not applied correctly — and minor oversights can snowball into major issues like image blur, poor contrast, or unstable setups.

Our latest resource, “7 Common Mistakes When Using Machine Vision Lenses,” highlights the frequent challenges engineers and integrators face in practical deployments. Whether you’re developing a compact vision module or a long-range inspection system, recognizing these pitfalls can help you optimize performance and reliability.

Here’s what you’ll learn:

Operating below the minimum object distance: If your target is too close, the lens may fail to achieve proper focus. We detail why M.O.D. specifications matter and how to stay within limits.

Lack of infinity focus: In telecentric and distant-view applications, certain optical designs can prevent sharp focus at infinity — we explain how to identify and correct this.

Depth of field constraints: Out-of-focus edges or inconsistent image quality? Understand how depth of field affects inspection accuracy and how to extend it when needed.

Chief ray angle (CRA) mismatch: Modern sensors can be sensitive to CRA differences, which may lead to brightness falloff or color shifts. Learn how to ensure compatibility.

Spectral response discrepancies: What your eye sees isn’t always what the camera detects. We cover how coatings and materials impact image consistency across wavelengths.

Focus shift across wavelengths: Switching between visible and near-infrared illumination? Discover how to manage chromatic aberration in multispectral setups.

Mechanical and thermal stability: Vibration, drift, and temperature changes can all degrade imaging precision — we explain design practices that help maintain alignment and repeatability.

By understanding these seven areas, you’ll be better prepared to design vision systems that perform as expected and stay stable over time - Download now.

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