POAC (Programmable Optical Array Computer) applied for target recognition and tracking

Szabolcs Tokés, László Orzó, Ahmed Ayoub, Tamás Roska

Research output: Contribution to journalConference article


A portable programmable opto-electronic analogic CNN computer (Laptop-POAC) has been built and used to recognize and track targets. Its kernel processor is a novel type of high performance optical correlator based on the use of bacteriorhodopsin (BR) as a dynamic holographic material. This optical CNN implementation combines the optical computer's high speed, high parallelism (≈106 channel) and large applicable template sizes with flexible programmability of the CNN devices. Unique feature of this optical array computer is that programming templates can be applied either by a 2D acousto-optical deflector (up to 64×64 pixel size templates) incoherently or by an LCD-SLM (up to 128×128 size templates) coherently. So it can work both in totally coherent and partially incoherent way, utilizing the actual advantages of the used mode of operation. Input images are fed-in by a second LCD-SLM of 600×800 pixel resolution. Evaluation of trade-off between speed and resolution is given. Novel and effective target recognition and multiple-target-tracking algorithms have been developed for the POAC. Tracking experiments are demonstrated. Collision avoidance experiments are being conducted. In the present model a CCD camera is recording the correlograms, however, later a CNN-UM chip and a high-speed CMOS camera will be applied for post-processing.

Original languageEnglish
Article number21
Pages (from-to)154-165
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - Dec 1 2004
EventMilitary Remote Sensing - London, United Kingdom
Duration: Oct 27 2004Oct 28 2004


  • Optical CNN
  • Optical computing
  • Optical correlator
  • Optical target recognition
  • Optical tracking

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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