Software for recognition and classification of objects that vary
CVB Manto is a versatile software that is able to solve optical recognition tasks not previously possible. The software is based on a specially adapted technology based on support vector machines.
CVB Manto uses all image information from multiple image planes and as such can be applied to monochrome, colour and even multi-spectral images. It automatically identifies the key features that help to identify the object’s class. Once properly trained it can also identify product characteristics that would be very difficult using other techniques, such as different paper types or the ripeness of fruit.