Vision systems

Explore and design robot vision systems, with software demonstrations.

Research opportunity

Abstract: Autosophy vision systems may provide very fast object recognition without programming. Using Content Addressable Memories (CAM) would allow virtually instant searching of very large databases independent of the database size. Search objects are stored in hyperspace providing enormous data compression and saturating memory requirements. Updating the databases would require only transmission of changes or movements without having to transmit the entire database files. The systems could be made virtually error-proof with self-checking, self-repair, self-healing, and even self-replication. The purpose of this research would be to explore vision systems based on the Autosophy information theory. Software simulation systems should be provided to allow experimentation and application development before proceeding to real hardware applications.

Applications: This advanced research could provide Autosophy based robot vision, which is vastly superior to computer based vision systems. Slow software simulation is important to explore systems behavior before proceeding to expensive real time hardware developments.

Keywords: Autosophy, Vision systems, Robot vision, Pattern Recognition.

Available downloadable documents:

Publication 2005 – Memories – Webpage htm

Application proposal 1998 – Pattern recognition – Webpage htm

Publication 1994 – Hyperspace storage – Webpage htm

Publication 1993 – Robot vision – Webpage htm

Publication 1992 – Vision – Webpage htm