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PC-based Deep Learning

With PC-based deep learning a short product development time and low integration costs are possible. In addition, PC-based systems score with a simple and convenient design-in.

Choose from Our Camera Portfolio for Your Deep Learning Application

Basler’s broad range of cameras makes it very easy to choose the right camera for a specific deep learning vision system. The artificial neural Network (ANN) can only perform as well as the quality of data that it gets as input. Therefore, image quality plays a significant role in designing a robust deep learning vision system. Find the suitable Basler ace or Basler MED ace for your application.

Choose from Our Camera Portfolio for Your Deep Learning Application

The Advantages of Basler Products for PC-based Applications Are:

  • Basler offers a large variety of cameras with many different CCD and CMOS image sensors to fit the needs of any specific deep learning vision application.
  • Basler supports all data interfaces for PC-based setups, such as GigE and USB 3.0.
  • Most Basler cameras have in-camera image processing, which reduces the need for additional image pre-processing, such as debayering, sharpness enhancement, noise reduction etc. on the PC side.
  • Basler cameras deliver extremely reproducible results.

Using pylon for Deep Learning Applications

The Basler pylon Camera Software Suite works for all operating systems such as Windows, Linux x86, Linux ARM, macOS and Android. Together with pypylon - Basler's new interface for connecting Basler cameras to the Python programming language - it supports an easy and fast development of deep learning applications. The interoperability of pylon and pypylon drives integration costs down and allows for a quick yet reliable integration of a camera for deep learning applications.

  • With pylon and pypylon, all Basler cameras can be easily integrated into the most popular Machine Vision libraries for deep learning usage, such as MVTec HALCON or Matrox Imaging Library (MIL).
  • pylon and pypylon support the most popular open-source deep learning libraries such as Caffe, TensorFlow, Theano, or the Deep Learning Toolbox by MATLAB®.

Need Help with Choosing Hardware for Your Deep Learning Application?

If you need assistance in choosing a vision system hardware for your specific deep learning application, we are happy to help you.

Contact us!

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