What is GPRSG
GPRSG stands for "General Picture
Recognition Software General." How is it different from normal picture
recognition, for example face recognition. The answer is that face
recognition software recognize a face using a
sample of a face but if you asked that software to recognize an aeroplane
then it would really get lost or if you asked it to recognize a car again
unfortunately it would again be totally lost.
What the general picture recognition software attempts
to do is given any sample or samples it will go off and find that sample object in
other pictures. The software has been developed over the last four
years and importantly has been used by small, medium and very large size
businesses and proven in real working environments.
We decided to
develop two versions of the software the home and the professional version.
The home version is not as powerful as the professional version. The
latest version is now a cut down version of the professional software. The
home version is at an entry level and is very inexpensive it allows people
to try out picture recognition usually for the first time, For people
who start to see how useful or people who already know they need the
professional version can upgrade to a much more powerful piece of software
with many more features build into it
The Professional version is truly
an advanced piece of software. It comes with a very powerful picture
recognition engine. It also has a very powerful way of selecting
objects to search for using a powerful color analysis methodology that
includes size and range functions. It comes with a powerful web-based crawler
so that pictures can be searched directly from off the Internet, we have
given it a good word and phrase search methods, as well as putting it in its own
window, now it is also a powerful Internet searcher.
It is also
ideal for finding pictures on hard drives, backup drive and even local
networks. For more information on these functions and Auto Tagging please
select from the side bar or view a video of the software by selecting a video.