OK, you can build a classifier in Matlab. But how do you bring it into your machine and thoroughly test it? How do you get it into real-time production?
perClass is designed exactly for this! In this example of wood defect detection we will show how easy it is to bring a classifier into your C++ application. Do you work with OpenCV, LabView, Halcon, Cognex or .Net? You're covered.
Watch this 4 minute video to find out more.
Want to learn how to build the best classifier for your problem?
Join us in the 13-17 April 2015 course in Delft, The Netherlands.
In this intensive 5-day course, you gain a proven methodology to solve your pattern recognition challenges.
Lectures and hands-on exercises on industrial problems such as:
Happy to share that perClass is prominently featured in the February issue of Vision Systems Design magazine. In the article the editor in chief Andy Wilson investigates the current state of the art in machine vision field. Andy writes "Perhaps one of the most comprehensive software toolkits for developing and testing different types of classifiers is PR Sys Design's perClass software."
Interested in the full article? You can find it here.
perClass 4.5 release brings:
Read more in the release notes.
Joanneum Research has adopted perClass in their Chronos-Trainer framework to design and deploy real-time audio classifiers. The framework was presented at the 6th Congress of Alps-Adria Acoustics Association in Graz, Austria.
The key element is that the application does not need to be recompiled to update or entirely change the classification logic. This makes researchers more efficiently focusing their effort on design of better algorithms that are instanteneously available for testing in real-world scenarios.
Read more in the blog.