Illumination is one of the most critical components of a machine vision system. The selection of the appropriate lighting component for a specific application is very important to ensure that a machine vision system performs its tasks consistently and reliably.
The main reason is that improper illumination results in loss of information which, in most cases, cannot be recovered via software. This is why the selection of quality lighting components is of primary importance: there is no software algorithm capable of revealing features that are not correctly illuminated.
To make the most appropriate choice, one must consider many different parameters, including:
Surface property of the material to be inspected or measured (e.g. color, reflectivity)
Since many parameters must be considered, the choice can be difficult and sometimes the wisest advice is to perform feasibility studies with different light types to reveal the features of interest. On the other hand, there are a number of simple rules and good practices that can help select the proper lights and improve the image quality.
For every application, the main objectives are the following: