Caius was selected by the European Space Agency's (ESA) incubator in Greece in order to further develop the award-winning "caius paths" project, which detects trails in nature. As an artificial intelligence and big data processing startup our main goal is to use satellite and geomorphological data in the study of forest areas and natural systems.
"A huge percentage of forest paths remain untapped, as we do not know their existence or the condition they are in. With the help of artificial intelligence, the digitisation of trails and, by extension, forest areas is now possible," say Professor Stathis Efstathopoulos of the National and Kapodistrian University of Athens and George Mendrinos (CEO), co-founders of Caius.
"The development of artificial intelligence, especially in the field of computer vision, combined with the improvement of the quality of stereoscopic imagery and multispectral images, now allows us to create systems that have deep learning at their core, such as "caius paths", and aim at automated digital mapping and supervision of even the most challenging forest areas", says George Michas, CTO of Caius.
Caius uses a seven-level automatic trail detection architecture, consisting of several neural networks that analyze all available information about a trail and presents stakeholders with digital maps of all trails in a given area, evaluated and continuously updated.
Caius' headquarters are located in Metsovo in order to better examine dense forest areas along with experienced local teams of explorers.
For access to the aforementioned data as well as the necessary computing power for their exploitation, the assistance of the ESA BIC Greece incubator will be valuable. The aim is to make "caius paths" the first tool for mass B2B and B2G use for the detection, updating and evaluation of trails, which will also bring a number of forest areas into the digital era, thus paving the way for other innovative applications for their organization, surveillance and sustainable exploitation.
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