This laboratory develops new methods for recognizing  patterns in digital images, with special emphasis on the development of new methods for biometry of faces, irises, and people. These techniques have made it possible to use access control methods based on faces and irises. Applications to detect gender and age on the basis of  faces have been developed.

It also develops applications for the detection of objects, vehicles, people, and the counting of people. In particular, new tools are being developed to prevent accidents in the area of mining through cameras that detect the presence of vehicles and people to avoid dangerous encounters.

The lab has various types of high resolution digital cameras, multi-core computers for parallel processing, and graphics cards that allow the implementation of algorithms in CUDA.

  • 10+ Network of computers (computer grid) (3 with 1000/100/10 cards).
  • 2  1Gbps Switches.
  • 2 Loudspeaker antennas – 60 GHz.
  • 2 Mixer 60 GHz.
  • 2 Multipliers x4 (15 GHz x4 = 60 GHz).
  • 2 Oscillators – 15 GHz.
  • 1 Amplifier – 60 GHz.
  • 1 Attenuator.
  • 1 Converter HDMI (parallel) to HDMI-SDI (serial).
  • 1 Converter HDMI-SDI (serial) to HDMI (parallel).
  • Miscellaneous (SMA cables, BNC cables, dividers, etc.).
  • FONDEF D08I1060.
  • FONDECYT 1120613.
  • INNOVA 13673.
Responsible Academics
Claudio Estévez

Claudio Estévez

Ph.D. Georgia Institute of Technology, USA.