SigmaQ is, so that everyone understands
the Google Maps of the railroad.
The objective is to digitize the railway corridor
to increase security
and it is cost saving to our customers.
The SigmaQ process starts with data capture on site,
with normal RGB cameras
on drones.
We capture images of the railway tracks
of the railway corridors.
They are digitized, processed and analyzed automatically
with image recognition software
and then transfer them to our digital platform,
that facilitates access to any engineering company
willing to use the data.
We have developed our image recognition software
with the Intelligent Systems Laboratories at the UC3M.
It is a key element in the automation of SigmaQ.
It is cost saving
and makes all analysis processes
much faster than manually.
On the other hand, being located at the Science Park of the UC3M
allows us to be in touch with other startups in our field,
besides the institutional support provided by the staff in the Park.
It is very important for a train going 300 km. per hour
know if a curve, a sign or a traffic light
is 15 meters before or after.
Distances are very important.
Our system can locate with high accuracy
where those add-ons are within a track.
It also helps with maintenance
and to predict failures that may occur on the railroad,
which improves traffic
and affects in a positive way people who take the train.
Another great advantage is
that the operators in charge of the maintenance of the tracks
would have greater security
they would not have to access the railway corridor
and operations would be done remotely.