In machine vision and precision imaging, clarity is everything. Yet even with high-end cameras and sensors, image quality can be compromised by optical imperfections. One of the most common being chromatic aberration. Understanding what chromatic aberration is, how it impacts your system and how to correct it is essential for achieving accurate, repeatable results.
In machine vision, lighting is everything. Even the most advanced camera and lens can underperform if the lighting setup isn’t optimized. Poor illumination leads to inconsistent results, missed defects and unreliable data. But the good news is most lighting issue are common, and fixable.
Modern agriculture is rapidly evolving and at the center of that transformation is multispectral imaging. By combining advanced camera technology with data-driven insights, farmers and agronomists can monitor crop health with a level of precision that was once impossible.
For decades, the NDVI (Normalized Difference Vegetation Index) has been the standard approach for assessing plant health. NDVI uses a camera equipped with red and NIR (near-infrared) filters and is calculated using the formula: