iRVision Part Z Height
How to properly set the Part Z Height in an iRVision 2D Vision Process
In this video, we’ll go over how color cameras are used within the iRVision system, exploring both the technical foundation and practical applications. Whether you're new to machine vision or looking to expand your understanding of color imaging, this session offers a clear and accessible breakdown of how color data is captured, processed, and applied in real-world scenarios.
We’ll start by introducing the supported color camera models, including the CXV and Basler options, and explain how firmware variations like the FNC designation affect compatibility with different controllers. From there, we’ll dive into how color cameras work, focusing on the Bayer filter method and how RGB values are derived from pixel data. You’ll also learn about alternative color representations like HSI (Hue, Saturation, Intensity), which aligns more closely with human color perception and is available along with RGB to tune iRVision Color Tools. are used in several iRVision tools.
Lighting plays a critical role in machine vision, and we’ll show how different lighting choices—such as red, white, or green—can dramatically affect image contrast and accuracy. You’ll see how strategic lighting enhances grayscale images even when using monochrome cameras.
We’ll also walk through a hands-on example using color tools to sort pills and analyze dice. This includes:
Requirements to follow along:
What you’ll learn:
This video is ideal for engineers, technicians, and automation professionals looking to enhance their vision systems with color imaging. Sign up to watch and gain practical insights you can apply directly to your own applications.
How to properly set the Part Z Height in an iRVision 2D Vision Process
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