Artificial Vision is the science and technology of machines that see. As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images. There is no standard formulation of how computer vision problems should be solved. Instead, there exists an abundance of methods for solving various well-defined computer vision tasks. The In-Spector team strives to combine cutting edge knowledge with real world experience in order to find the right approach for our industrial clients.

Our vision department seeks to apply its theories and models to the construction of computer vision systems that:

  • Control processes.
  • Detect events.
  • Organize information (e.g., for indexing databases of images and image sequences).
  • Interact (e.g., as the input to a device for positioning).
  • Control quality.
  • Make judgments on material. (e.g., for grading hardwood).