DEEP LEARNING
Deep Neural Networks provide modern world with almost limitless possibilities to solve problems. We explore more specifically the class of image classifications. Our work is based on TensorFlow as a core technology. Tensorflow is feeding with data the next level of our applications which determines the desired system behavior. Our recent work is an application for gender and age recognition. Based on network output data, specific content is provided to the end user.
And this is just one example. Another extension is towards data collection for statistical purposes, and many more. Are you working in the area of marketing? - then this could be the right solution for you. Or if you are in the area of process automation, perhaps you search will lead you to the same place.
FLEXIBLE 3D
FOR PRODUCTION LINES
Traditional way of designing production lines with fixed positions and cycles is now obsolete. We believe it has to be flexible, reconfigurable, ant it does not have to be precisely build. How is that possible?
In all camera based automation systems, there exist three parts that move and operate in their own coordinate system - the production objects, the camera, and the robot manipulator.
Classic automation system solve this problem by trying to put everything in a one coordinate system. That inevitably makes the system very sensitive to geometric variations. All objects, and materials must be placed in specific predefined places.
Our tecchnology makes the difference. Using markers or visually detected features, we are able to combine these three coordinate systems and make things work together. Now it is easy to imagine that working environment starts looking in a more natural way - a camera is observing the working space, objects are fed somewhere in a suitable place, object manipulation is done and the object are placed where output bin or track is detected to be,
Imagine all the frexibility you have now at your disposal!