How VIPR works

Today we are going to discuss the detail of VIPR (visual pattern recognition). At first the VIPR technology is relate to the neural network technology. Because the VIPR technology will collect the key elements and combine them together and it will allows the ViPR technology to achieve a high level of performance.
Here is an example to show how this technology works: First, is the choice of descriptors it uses to encode unique visual patterns such as the corner of an object or the print on a label. As the most distinct regions (called features) are localized in the image, unique descriptors are computed for each of them. Several hundred such features are automatically extracted and stored in a database to describe the unique patterns in each image. as you can see the below image the VIPR technology will detect and collect the most useful element and according to those elements it will compare and identify the image and it will show the result if the information was matched. and this technology can also be used in different position, distances, partial occlusion and different angle. (see below examples)

reference: http://www.evolution.com/core/ViPR/

Example of a recognized image with the features highlighted.