Reconfigurable Adaptive System (RAS) development successfully combines various microprocessors within a flexible computational framework by optimal partitioning of the algorithmic solutions for minimal hardware configurations. The Company is building on RAS technology developing and improving its Bi-i intelligent cameras (read more in White Papers ).

What are the main components of RAS technology?

RAS design technology combines integer and floating point Digital Signal Processors (DSPs), Field Programmable Gate Arrays (FPGAs), Cellular Visual Microprocessors (CVMs) and Communication Processors (CPs) within a flexible computational framework built for combined topographic and non-topographic calculations. On a common computing platform and software environment different hardware components can be configured and optimized for the processing needs of the target application areas.

Why is RAS design different than competing solutions?

Using a RAS design results in a minimal hardware configuration through optimal partitioning of the algorithmic solutions in a specific application area therefore providing design flexibility over current intelligent cameras and solutions.

What is the advantage of using RAS design in machine vision products?

Relying on RAS design cuts costs in target areas by optimizing the hardware system and components for the specific market segments.

Which are the next steps in R&D in order to improve RAS technology?

Expanding the use of FPGA components within RAS design (see Bi-i product line) cellular flow processing capability will also appear at the system level promising a competitive edge in computationally most demanding application areas such as surveillance and multiple object tracking on moving platforms.