Most of our machine vision images are transient. The system acquires and analyzes. A decision is made and an action is taken. In most cases then, the image is discarded. In fact often it has to be: there's just no space to store thousands of pictures.
But some people need to keep them. And sometimes they need to be able to demonstrate there's been no tampering, as in cases that are heading to court. In the scientific world too it's often necessary to preserve images, perhaps with annotations to explain what's being seen.
PhotoShop is one tool, but it's less than ideal, which is why UK-based Eye Detect Ltd have developed Eyecite. My first impression was that this is a more user-friendly version of ImageJ, but Jonathan Barnett of Eye Detect pointed out that, “the intention is to provide a limited set of processing functions that can then be customised for individual application areas, rather than providing the sort of range of functions that ImageJ provides, and as you say be more user friendly about it. Additionally, have the annotation and change tracking. QC is the sort of area we are looking at...”
So what is it? Perhaps this video will help explain.