Members of our developer community often request us to share useful tips and tricks with them. One of the most exciting questions we regularly encounter are related to image recognition and AR performance.
For example, “How can I improve recognition by eliminating elements that are not there in real life or are changing in nature?” Think plants that may grow or change leaves, people in the background or liquids inside the bottle whose label you want to get recognized.
Augmented Reality is a delightful technology, but even the best intentions can go wrong if you don’t use the right images for your experiences. This is why Catchoom takes the guesswork out of AR. We provide an extended Image Quality rating for your items, not just in the cloud content management system, but directly on the user’s device, too.
This is very useful in case you want to let your users create their own AR experiences, for example, on top of their photos or print images. Now, you will be able to ensure that they will work properly.
One of the reasons why we love Image Recognition and AR is that they can be used for so many different experiences on so many target objects, from photos to posters to product labels. (These customer projects perfectly prove that.)
However, a well-working Image Recognition or AR experience starts with selecting the right targets – in Catchoom’s terminology, the right reference images – for your experiences.
This is why we’ve collected some tips to help you prepare the right collection of images for our CraftAR Image Recognition solutions. We’ll also present you your new best friend, our extended Image Quality Rating.
