Flow Processing Algorithms (FPAs) rely on spatio-temporal visual subroutines combined within a platform independent environment. The Company is building on FPA technology developing and improving its InstantVision ISE and the associated libraries (read more in White Papers ).

What are the main components of FPA technology?

FPAs consists of spatio-temporal visual subroutines developed for foreground-background separation, motion detection, structure/feature extraction and tracking combined with multi-target tracking and feature classification methods within a platform independent environment.

Why is FPA different than competing solutions?

Optimizing the FPA solutions for specific platforms (such as the Bi-i intelligent camera) ensures rapid application development, prototyping and deployment in quality assurance, monitoring and surveillance markets.

What is the advantage of using FPA in machine vision products?

FPA solutions have already been developed and give the competitive edge and rapid prototyping in specific application areas.

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

Future improvements will expand and integrate spatio-temporal flow processing, multi-target tracking and feature classification methods into complex solutions for specific application areas (e.g. surveillance) ready to be optimized for different target platforms.