How do we create powerful applications?
Using a plethora of suitable data streams, including satellite imagery, for each use case.
Applying artificial intelligence and machine learning tools, creating a unique and accurate algorithm for each case.
Developing intuitive visualization interfaces (dashboards, mobile).
Applications
SOILRISK is a high-resolution Predictive Model Application for Landslides that gathers atmospheric and environmental data and converts it into valuable intelligence in order to forecast landslide occurrence and provide a warning system for prevention.
HABTRAIL is a deep learning model for harmful algal blooms (HABs). It comprises two data services, one that is capable of detecting and monitoring the expansion of HABs, as an alert system, and another data service, a mobile app that is capable of identifying HABs, in near to real-time, just by uploading a “suspected picture” of the water.
HABTRAIL is a deep learning model for harmful algal blooms (HABs). It comprises two data services, one that is capable of detecting and monitoring the expansion of HABs, as an alert system, and another data service, a mobile app that is capable of identifying HABs, in near to real-time, just by uploading a “suspected picture” of the water.
About Us
Eyecon Group is a private company that was founded in 2017 to develop innovative solutions in remote sensing applications using machine learning and artificial intelligence algorithms.
We believe that every data has a unique message which only when understood can solutions to industrial problems be formulated.
Along the way, we developed applications such as SOILRISK, a predictive model application for landslides, RIVERFLOW an early warning system for floods, and we are creating HABTRAIL, a predictive model for toxic algal blooms.
We're looking forward to continuing our exciting journey, hand in hand with science, and growing our team globally.
About Us
Eyecon Group is a private company that was founded in 2017 to develop innovative solutions in remote sensing applications using machine learning and artificial intelligence algorithms.
We believe that every data has a unique message which only when understood can solutions to industrial problems be formulated.
Along the way, we developed applications such as SOILRISK, a predictive model application for landslides, RIVERFLOW an early warning system for floods, and we are creating HABTRAIL, a predictive model for toxic algal blooms.
We're looking forward to continuing our exciting journey, hand in hand with science, and growing our team globally.
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