Applying the ordinary SVM algorithm has a huge advantage upon the traditional neural network approach but has also one major flaw:
it requires unreasonable processing efforts for both the training phase and classification phase.
However, during the last 3 years, our team succeeded surpassing those barriers using our proprietary innovative efficient algorithm,
creating an extremely powerful multipurpose rapid classification and detection tool.